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key: 9JB798ZI
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key: 3A8Z95RX
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key: G5VPGVQH
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key: AFNBNENG
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key: YEUAVK7E
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key: SM4G58CU
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key: WKE2QL7T
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key: AAM6HHFW
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key: 7NH38VX8
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key: 6E8J8CV5
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key: FWT784EM
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key: KNNQ84UX
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key: 75RYUKYS
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key: E4CN4FC6
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key: NNEEYAJ9
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key: TXKVS7PA
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key: MQVM5NVM
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key: QASHQ92D
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  {"key":"QASHQ92D","version":2079,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/QASHQ92D","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/QASHQ92D","type":"text/html"}},"meta":{"creatorSummary":"Zhao et al.","numChildren":0},"data":{"key":"QASHQ92D","version":2079,"itemType":"journalArticle","title":"Privacy Regulations and Online Search Friction: Evidence from GDPR","creators":[{"creatorType":"author","firstName":"Yu","lastName":"Zhao"},{"creatorType":"author","firstName":"Pinar","lastName":"Yildirim"},{"creatorType":"author","firstName":"Pradeep","lastName":"Chintagunta"}],"abstractNote":"How do privacy regulations in the market impact online search for products and information? This paper investigates the impact of the General Data Protection Regulation (GDPR for short) on consumers’ online browsing and search behavior using consumer panels from four countries, United Kingdom, Spain, United States, and Brazil. We utilize recent advances in the synthetic control literature and apply the generalized synthetic control and matrix completion methods for causal inference. We document and increase in the search effort of consumers. We document decline in domain traffic through emails, and explore changes in online traffic through different marketing channels. Overall, the post-GDPR online environment may be more difficult for EU consumers to navigate through.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","deleted":1,"tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-02T11:38:30Z","dateModified":"2024-05-02T11:38:30Z"}}


key: 5RZ2RVD7
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key: JBCYUYLP
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key: BH7VALLS
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key: K7UWLDG7
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key: RF5YYQ7D
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key: TEHCSB3A
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key: GAJI86KZ
data:
  {"key":"GAJI86KZ","version":2091,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/GAJI86KZ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/GAJI86KZ","type":"text/html"}},"meta":{"creatorSummary":"Johnson","parsedDate":"2022","numChildren":0},"data":{"key":"GAJI86KZ","version":2091,"itemType":"journalArticle","title":"Economic research on privacy regulation: Lessons from the GDPR and beyond","creators":[{"creatorType":"author","firstName":"Garrett A","lastName":"Johnson"}],"abstractNote":"This paper reviews the economic literature on the European Union’s General Data Protection Regulation (GDPR). I highlight key challenges for studying the regulation including the diﬃculty of ﬁnding a suitable control group, variable ﬁrm compliance and regulatory enforcement, as well as the regulation’s impact on data observability. The economic literature on the GDPR to date has largely—though not universally—documented harms to ﬁrms. These include harms to ﬁrm performance, competition, innovation, the web, and marketing. On the elusive consumer welfare side, the literature documents some objective privacy improvements as well as helpful survey evidence. The literature shows how the GDPR works in practice and illuminates the consequences of its design decisions. Finally, I suggest opportunities for future research on the GDPR as well as privacy regulation and privacy-related innovation more broadly.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","deleted":1,"tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-02T07:00:45Z","dateModified":"2024-05-02T07:01:25Z"}}


key: 4PK9PHJ5
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key: P72II5J6
data:
  {"key":"P72II5J6","version":2093,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/P72II5J6","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/P72II5J6","type":"text/html"}},"meta":{"creatorSummary":"Weigl et al.","parsedDate":"2023","numChildren":1},"data":{"key":"P72II5J6","version":2093,"itemType":"journalArticle","title":"MEDIATING THE TENSION BETWEEN DATA SHARING AND PRIVACY: THE CASE OF DMA AND GDPR","creators":[{"creatorType":"author","firstName":"Linda","lastName":"Weigl"},{"creatorType":"author","firstName":"Tom","lastName":"Barbereau"},{"creatorType":"author","firstName":"Johannes","lastName":"Sedlmeir"}],"abstractNote":"The Digital Markets Act (DMA) constitutes a crucial part of the European legislative framework addressing the dominance of ‘Big Tech’. It intends to foster fairness and competition in Europe’s digital platform economy by imposing obligations on ‘gatekeepers’ to share end-user-related information with business users. Yet, this may involve the processing of personal data subject to the General Data Protection Regulation (GDPR). The obligation to provide access to personal data in a GDPR-compliant manner poses a regulatory and technical challenge and can serve as a justification for gatekeepers to refrain from data sharing. In this research-in-progress paper, we analyze key tensions between the DMA and the GDPR through the paradox perspective. We argue through a task-technology fit approach how privacyenhancing technologies – particularly anonymization techniques – and portability could help mediate tensions between data sharing and privacy. Our contribution provides theoretical and practical insights to facilitate legal compliance.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2023","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:21:22Z","dateModified":"2024-04-28T12:21:22Z"}}


key: X8FHMZR5
data:
  {"key":"X8FHMZR5","version":2093,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/X8FHMZR5","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/X8FHMZR5","type":"text/html"}},"meta":{"creatorSummary":"van Dijk et al.","parsedDate":"2021","numChildren":1},"data":{"key":"X8FHMZR5","version":2093,"itemType":"journalArticle","title":"PILLARS OF PRIVACY: IDENTIFYING CORE THEORY IN A NETWORK ANALYSIS OF PRIVACY LITERATURE","creators":[{"creatorType":"author","firstName":"Friso","lastName":"van Dijk"},{"creatorType":"author","firstName":"Marco","lastName":"Spruit"},{"creatorType":"author","firstName":"Chaïm","lastName":"van Toledo"},{"creatorType":"author","firstName":"Matthieu","lastName":"Brinkhuis"}],"abstractNote":"Privacy research is divided in distinct communities and rarely considered as a singular ﬁeld. This is harmful to its disciplinary identity. We used a bibliometric network analysis as a quantitative technique to investigate the privacy research community by its collective output and identify its core theories. The network consists of 83,159 publications with 462,633 internal references in 90 distinct topics. The 112 most inﬂuential publications in the privacy research community were selected through centrality measures, providing 11 core theories that see widespread adoption in privacy research. We found a gap between research on the individual and organisational levels of analysis, ﬁnding the latter underrepresented in the ﬁeld’s inﬂuential theories. We propose the Pillars of Privacy framework as a high-level multilevel framework for privacy research. The framework classiﬁes core theories on four levels of analysis along three pillars of privacy research: Privacy Concern, Privacy Calculus and Behavioural Outcomes.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:21:31Z","dateModified":"2024-04-28T12:21:31Z"}}


key: ZADWL6S9
data:
  {"key":"ZADWL6S9","version":2093,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/ZADWL6S9","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/ZADWL6S9","type":"text/html"}},"meta":{"creatorSummary":"Dwivedi et al.","parsedDate":"2021","numChildren":1},"data":{"key":"ZADWL6S9","version":2093,"itemType":"journalArticle","title":"Setting the future of digital and social media marketing research: Perspectives and research propositions","creators":[{"creatorType":"author","firstName":"Yogesh K.","lastName":"Dwivedi"},{"creatorType":"author","firstName":"Elvira","lastName":"Ismagilova"},{"creatorType":"author","firstName":"D. Laurie","lastName":"Hughes"},{"creatorType":"author","firstName":"Jamie","lastName":"Carlson"},{"creatorType":"author","firstName":"Raffaele","lastName":"Filieri"},{"creatorType":"author","firstName":"Jenna","lastName":"Jacobson"},{"creatorType":"author","firstName":"Varsha","lastName":"Jain"},{"creatorType":"author","firstName":"Heikki","lastName":"Karjaluoto"},{"creatorType":"author","firstName":"Hajer","lastName":"Kefi"},{"creatorType":"author","firstName":"Anjala S.","lastName":"Krishen"},{"creatorType":"author","firstName":"Vikram","lastName":"Kumar"},{"creatorType":"author","firstName":"Mohammad M.","lastName":"Rahman"},{"creatorType":"author","firstName":"Ramakrishnan","lastName":"Raman"},{"creatorType":"author","firstName":"Philipp A.","lastName":"Rauschnabel"},{"creatorType":"author","firstName":"Jennifer","lastName":"Rowley"},{"creatorType":"author","firstName":"Jari","lastName":"Salo"},{"creatorType":"author","firstName":"Gina A.","lastName":"Tran"},{"creatorType":"author","firstName":"Yichuan","lastName":"Wang"}],"abstractNote":"The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of chal­ lenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.","publicationTitle":"International Journal of Information Management","volume":"59","issue":"","pages":"102168","date":"08/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"International Journal of Information Management","language":"en","DOI":"10.1016/j.ijinfomgt.2020.102168","ISSN":"02684012","shortTitle":"Setting the future of digital and social media marketing research","url":"https://linkinghub.elsevier.com/retrieve/pii/S0268401220308082","accessDate":"2024-04-28T12:21:39Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:21:39Z","dateModified":"2024-04-28T12:21:40Z"}}


key: MYF6ZLMI
data:
  {"key":"MYF6ZLMI","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/MYF6ZLMI","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/MYF6ZLMI","type":"text/html"}},"meta":{"creatorSummary":"Zac et al.","parsedDate":"2024","numChildren":1},"data":{"key":"MYF6ZLMI","version":2094,"itemType":"journalArticle","title":"The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR","creators":[{"creatorType":"author","firstName":"Amit","lastName":"Zac"},{"creatorType":"author","firstName":"Pablo","lastName":"Wey"},{"creatorType":"author","firstName":"Stefan","lastName":"Bechtold"},{"creatorType":"author","firstName":"David","lastName":"Rodriguez"},{"creatorType":"author","firstName":"Jose M.","lastName":"Del Alamo"}],"abstractNote":"In July 2020, the European Court of Justice invalidated the EU-US Privacy Shield with immediate effect (“Schrems II”). As a result, almost all personal data transfers from the European Union to the United States became illegal overnight. We present a unique dataset allowing us not only to observe what firms say about their behavior in privacy policies, but also how firms actually behave. Using machine-learning tools, we analyze the privacy policies of over 7,500 apps on the Spanish Google Play Store and find limited compliance with the Schrems II decision. We validate the quality of our classifier through manual inspection of privacy policies. Using tools from IT security research, we are able to observe the actual personal data traffic flows leaving apps towards the United States after Schrems II. Combining our observations on privacy policies and data traffic flows, our findings on compliance with Schrems II are sobering. A few weeks after Schrems II was decided, only 23% of the studied apps in our sample seem to comply with the decision while 77% seem to violate the GDPR. Over two years after Schrems II, the rate of compliant apps increases, yet we estimate that roughly 45% of the apps are non-compliant. We examine the implications our findings have for the design and enforcement of the GDPR, and on the notion of diffusion of EU laws (‘Brussle effect’) and discuss how the combination of an automated analysis of contracts and of actual data traffic flows can improve our understanding on how to regulate the digital economy at large scale.","publicationTitle":"SSRN Electronic Journal","volume":"","issue":"","pages":"","date":"2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"SSRN Journal","language":"en","DOI":"10.2139/ssrn.4709913","ISSN":"1556-5068","shortTitle":"The Court Speaks, But Who Listens?","url":"https://www.ssrn.com/abstract=4709913","accessDate":"2024-04-28T12:21:49Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:21:49Z","dateModified":"2024-04-28T12:21:52Z"}}


key: SW3TBIX5
data:
  {"key":"SW3TBIX5","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/SW3TBIX5","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/SW3TBIX5","type":"text/html"}},"meta":{"creatorSummary":"Li and Quinn","parsedDate":"2024","numChildren":1},"data":{"key":"SW3TBIX5","version":2094,"itemType":"journalArticle","title":"The European Health Data Space: An expanded right to data portability?","creators":[{"creatorType":"author","firstName":"Wenkai","lastName":"Li"},{"creatorType":"author","firstName":"Paul","lastName":"Quinn"}],"abstractNote":"The European Commission recently released its proposal for a Regulation giving rise to a European Health Data Space (EHDS), as the first domain-specific common European data space under the European Union’s data strategy. The proposed EHDS aims to improve access to and control by individuals of their personal electronic health data in primary use and increase data availability for secondary use purposes. This article is primarily concerned with the ambition to enhance the right of natural persons to data portability and promote interop­ erability in the health sector. This article seeks to delineate to what extent they represent a new and expanded right alongside the right to data portability provided in the General Data Protection Regulation (GDPR). In comparing this new expanded right to the original right outlined in Article 20 of the GDPR, the authors argue that Article 3(8) of the EHDS proposal represents an important expansion with the potential to allow individuals more possibility to control and mobilise their electronic health data, especially those elements located within Electronic Health Records (EHRs). This will also be facilitated by the strengthened interoperability requirements foreseen by the EHDS proposal. However, this paper also identifies several limitations and inconsistencies in the new data portability right which could potentially hinder its functioning. This notably includes the proposal’s failure to take into account the need for data portability for secondary use purposes, and the unclear relationship of Article 3(8) of the proposal with Article 9 of the GDPR. It is recommended that these points should be considered carefully in future versions of the EHDS proposal.","publicationTitle":"Computer Law & Security Review","volume":"52","issue":"","pages":"105913","date":"04/2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Computer Law & Security Review","language":"en","DOI":"10.1016/j.clsr.2023.105913","ISSN":"02673649","shortTitle":"The European Health Data Space","url":"https://linkinghub.elsevier.com/retrieve/pii/S0267364923001231","accessDate":"2024-04-28T12:22:01Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:01Z","dateModified":"2024-04-28T12:22:02Z"}}


key: R9FEIHX5
data:
  {"key":"R9FEIHX5","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/R9FEIHX5","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/R9FEIHX5","type":"text/html"}},"meta":{"creatorSummary":"Appel et al.","parsedDate":"2020","numChildren":1},"data":{"key":"R9FEIHX5","version":2094,"itemType":"journalArticle","title":"The future of social media in marketing","creators":[{"creatorType":"author","firstName":"Gil","lastName":"Appel"},{"creatorType":"author","firstName":"Lauren","lastName":"Grewal"},{"creatorType":"author","firstName":"Rhonda","lastName":"Hadi"},{"creatorType":"author","firstName":"Andrew T.","lastName":"Stephen"}],"abstractNote":"Social media allows people to freely interact with others and offers multiple ways for marketers to reach and engage with consumers. Considering the numerous ways social media affects individuals and businesses alike, in this article, the authors focus on where they believe the future of social media lies when considering marketing-related topics and issues. Drawing on academic research, discussions with industry leaders, and popular discourse, the authors identify nine themes, organized by predicted imminence (i.e., the immediate, near, and far futures), that they believe will meaningfully shape the future of social media through three lenses: consumer, industry, and public policy. Within each theme, the authors describe the digital landscape, present and discuss their predictions, and identify relevant future research directions for academics and practitioners.","publicationTitle":"Journal of the Academy of Marketing Science","volume":"48","issue":"1","pages":"79-95","date":"01/2020","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"J. of the Acad. Mark. Sci.","language":"en","DOI":"10.1007/s11747-019-00695-1","ISSN":"0092-0703, 1552-7824","shortTitle":"","url":"http://link.springer.com/10.1007/s11747-019-00695-1","accessDate":"2024-04-28T12:22:06Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:06Z","dateModified":"2024-04-28T12:22:08Z"}}


key: ICR7FFJ9
data:
  {"key":"ICR7FFJ9","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/ICR7FFJ9","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/ICR7FFJ9","type":"text/html"}},"meta":{"creatorSummary":"Schepman and Rodway","parsedDate":"2023-08-09","numChildren":1},"data":{"key":"ICR7FFJ9","version":2094,"itemType":"journalArticle","title":"The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust","creators":[{"creatorType":"author","firstName":"Astrid","lastName":"Schepman"},{"creatorType":"author","firstName":"Paul","lastName":"Rodway"}],"abstractNote":"Acceptance of Artificial Intelligence (AI) may be predicted by individual psychological correlates, examined here. Study 1 reports confirmatory validation of the General Attitudes towards Artificial Intelligence Scale (GAAIS) following initial validation elsewhere. Confirmatory Factor Analysis confirmed the two-factor structure (Positive, Negative) and showed good convergent and divergent validity with a related scale. Study 2 tested whether psychological factors (Big Five personality traits, corporate distrust, and general trust) predicted attitudes towards AI. Introverts had more positive attitudes towards AI overall, likely because of algorithm appreciation. Conscientiousness and agreeableness were associated with forgiving attitudes towards negative aspects of AI. Higher corporate distrust led to negative attitudes towards AI overall, while higher general trust led to positive views of the benefits of AI. The dissociation between general trust and corporate distrust may reflect the public’s attributions of the benefits and drawbacks of AI. Results are discussed in relation to theory and prior findings.","publicationTitle":"International Journal of Human–Computer Interaction","volume":"39","issue":"13","pages":"2724-2741","date":"2023-08-09","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"International Journal of Human–Computer Interaction","language":"en","DOI":"10.1080/10447318.2022.2085400","ISSN":"1044-7318, 1532-7590","shortTitle":"The General Attitudes towards Artificial Intelligence Scale (GAAIS)","url":"https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2085400","accessDate":"2024-04-28T12:22:15Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:15Z","dateModified":"2024-04-28T12:22:16Z"}}


key: 3SUW9UTU
data:
  {"key":"3SUW9UTU","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/3SUW9UTU","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/3SUW9UTU","type":"text/html"}},"meta":{"creatorSummary":"Schmitt et al.","parsedDate":"2020","numChildren":1},"data":{"key":"3SUW9UTU","version":2094,"itemType":"journalArticle","title":"The Impact of Privacy Laws on Online User Behavior","creators":[{"creatorType":"author","firstName":"Julia","lastName":"Schmitt"},{"creatorType":"author","firstName":"Klaus","lastName":"Miller"},{"creatorType":"author","firstName":"Bernd","lastName":"Skiera"}],"abstractNote":"Policymakers worldwide draft privacy laws that require trading-off between safeguarding consumer privacy and preventing economic loss to companies that use consumer data. However, little empirical knowledge exists as to how privacy laws affect companies’ performance. Accordingly, this paper empirically quantifies the effects of the enforcement of the EU’s General Data Protection Regulation (GDPR) on online user behavior over time, analyzing data from 6,286 websites spanning 24 industries during the 10 months before and 18 months after the GDPR’s enforcement in 2018. A panel differences estimator, with a synthetic control group approach, isolates the short- and long-term effects of the GDPR on user behavior. The results show that, on average, the GDPR’s effects on user quantity and usage intensity are negative; e.g., the numbers of total visits to a website decrease by 4.9% and 10% due to GDPR in respectively the short- and long-term. These effects could translate into average revenue losses of $7 million for e-commerce websites and almost $2.5 million for ad-based websites 18 months after GDPR. The GDPR’s effects vary across websites, with some industries even benefiting from it; moreover, more-popular websites suffer less, suggesting that the GDPR increased market concentration.","publicationTitle":"SSRN Electronic Journal","volume":"","issue":"","pages":"","date":"2020","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"SSRN Journal","language":"en","DOI":"10.2139/ssrn.3774110","ISSN":"1556-5068","shortTitle":"","url":"https://www.ssrn.com/abstract=3774110","accessDate":"2024-04-28T12:22:23Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:23Z","dateModified":"2024-04-28T12:22:24Z"}}


key: 37W5NVXZ
data:
  {"key":"37W5NVXZ","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/37W5NVXZ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/37W5NVXZ","type":"text/html"}},"meta":{"creatorSummary":"Linden et al.","parsedDate":"2020-01-01","numChildren":1},"data":{"key":"37W5NVXZ","version":2094,"itemType":"journalArticle","title":"The Privacy Policy Landscape After the GDPR","creators":[{"creatorType":"author","firstName":"Thomas","lastName":"Linden"},{"creatorType":"author","firstName":"Rishabh","lastName":"Khandelwal"},{"creatorType":"author","firstName":"Hamza","lastName":"Harkous"},{"creatorType":"author","firstName":"Kassem","lastName":"Fawaz"}],"abstractNote":"The EU General Data Protection Regulation (GDPR) is one of the most demanding and comprehensive privacy regulations of all time. A year after it went into effect, we study its impact on the landscape of privacy policies online. We conduct the first longitudinal, in-depth, and at-scale assessment of privacy policies before and after the GDPR. We gauge the complete consumption cycle of these policies, from the first user impressions until the compliance assessment. We create a diverse corpus of two sets of 6,278 unique English-language privacy policies from inside and outside the EU, covering their pre-GDPR and the post-GDPR versions. The results of our tests and analyses suggest that the GDPR has been a catalyst for a major overhaul of the privacy policies inside and outside the EU. This overhaul of the policies, manifesting in extensive textual changes, especially for the EU-based websites, comes at mixed benefits to the users. While the privacy policies have become considerably longer, our user study with 470 participants on Amazon MTurk indicates a significant improvement in the visual representation of privacy policies from the users’ perspective for the EU websites. We further develop a new workflow for the automated assessment of requirements in privacy policies. Using this workflow, we show that privacy policies cover more data practices and are more consistent with seven compliance requirements post the GDPR. We also assess how transparent the organizations are with their privacy practices by performing specificity analysis. In this analysis, we find evidence for positive changes triggered by the GDPR, with the specificity level improving on average. Still, we find the landscape of privacy policies to be in a transitional phase; many policies still do not meet several key GDPR requirements or their improved coverage comes with reduced specificity.","publicationTitle":"Proceedings on Privacy Enhancing Technologies","volume":"2020","issue":"1","pages":"47-64","date":"2020-01-01","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"10.2478/popets-2020-0004","ISSN":"2299-0984","shortTitle":"","url":"https://petsymposium.org/popets/2020/popets-2020-0004.php","accessDate":"2024-04-28T12:22:28Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"http://creativecommons.org/licenses/by-nc-nd/3.0","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:28Z","dateModified":"2024-04-28T12:22:30Z"}}


key: 8SS6SMNE
data:
  {"key":"8SS6SMNE","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/8SS6SMNE","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/8SS6SMNE","type":"text/html"}},"meta":{"creatorSummary":"Kieslich et al.","parsedDate":"2021","numChildren":1},"data":{"key":"8SS6SMNE","version":2094,"itemType":"journalArticle","title":"The Threats of Artificial Intelligence Scale (TAI): Development, Measurement and Test Over Three Application Domains","creators":[{"creatorType":"author","firstName":"Kimon","lastName":"Kieslich"},{"creatorType":"author","firstName":"Marco","lastName":"Lünich"},{"creatorType":"author","firstName":"Frank","lastName":"Marcinkowski"}],"abstractNote":"In recent years Artiﬁcial Intelligence (AI) has gained much popularity, with the scientiﬁc community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals, respectively. Several opinion polls frequently query the public fear of autonomous robots and artiﬁcial intelligence, a phenomenon coming also into scholarly focus. As potential threat perceptions arguably vary with regard to the reach and consequences of AI functionalities and the domain of application, research still lacks necessary precision of a respective measurement that allows for wide-spread research applicability. We propose a ﬁne-grained scale to measure threat perceptions of AI that accounts for four functional classes of AI systems and is applicable to various domains of AI applications. Using a standardized questionnaire in a survey study (N = 891), we evaluate the scale over three distinct AI domains (medical treatment, job recruitment, and loan origination). The data support the dimensional structure of the proposed Threats of AI (TAI) scale as well as the internal consistency and factoral validity of the indicators. Implications of the results and the empirical application of the scale are discussed in detail. Recommendations for further empirical use of the TAI scale are provided.","publicationTitle":"International Journal of Social Robotics","volume":"13","issue":"7","pages":"1563-1577","date":"11/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Int J of Soc Robotics","language":"en","DOI":"10.1007/s12369-020-00734-w","ISSN":"1875-4791, 1875-4805","shortTitle":"The Threats of Artificial Intelligence Scale (TAI)","url":"https://link.springer.com/10.1007/s12369-020-00734-w","accessDate":"2024-04-28T12:22:33Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:33Z","dateModified":"2024-04-28T12:22:33Z"}}


key: N6H37WAL
data:
  {"key":"N6H37WAL","version":2094,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/N6H37WAL","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/N6H37WAL","type":"text/html"}},"meta":{"creatorSummary":"Éllen Renner Ferrão et al.","parsedDate":"2024","numChildren":1},"data":{"key":"N6H37WAL","version":2094,"itemType":"journalArticle","title":"Towards a taxonomy of privacy requirements based on the LGPD and ISO/IEC 29100","creators":[{"creatorType":"author","firstName":"Sâmmara","lastName":"Éllen Renner Ferrão"},{"creatorType":"author","firstName":"Geovana","lastName":"Ramos Sousa Silva"},{"creatorType":"author","firstName":"Edna","lastName":"Dias Canedo"},{"creatorType":"author","firstName":"Fabiana","lastName":"Freitas Mendes"}],"abstractNote":"Objective: This study proposes a comprehensive taxonomy of privacy requirements, drawing from the Brazilian General Data Protection Law (LGPD) and ISO/IEC 29100. The aim is to assist software development teams in navigating the complexities of legal compliance.\nMethod: To define the research gap, we conducted a systematic literature review (SLR) initially, identifying existing taxonomies of privacy requirements. Subsequently, we applied the Goal-Based Requirements Analysis Method (GBRAM) to extract privacy requirements from LGPD and ISO/IEC 29000. Finally, we implemented the proposed taxonomy in the privacy policies of Brazil’s three largest banks.\nResults: The taxonomy comprises 129 requirements, categorized into 10 distinct groups across 5 contexts. In applying the taxonomy to ISO/IEC 29100, analysis of 63 statements for GDPR+ISO/IEC 29100 yielded 33 requirements, whereas for LGPD+ISO/IEC 29100, 58 statements resulted in 57 requirements. Application of the taxonomy revealed adherence percentages ranging from 40% to 71% concerning the evaluated solutions.\nConclusions: The outcomes strongly suggest that major corporations are yet to achieve full LGPD compliance. We posit that the proposed taxonomy offers a valuable industry tool for validating LGPD compliance within implemented systems, as exemplified by our successful use case with Brazilian banks.","publicationTitle":"Information and Software Technology","volume":"168","issue":"","pages":"107396","date":"04/2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Information and Software Technology","language":"en","DOI":"10.1016/j.infsof.2024.107396","ISSN":"09505849","shortTitle":"","url":"https://linkinghub.elsevier.com/retrieve/pii/S0950584924000016","accessDate":"2024-04-28T12:22:38Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:38Z","dateModified":"2024-04-28T12:22:39Z"}}


key: NA7K35EW
data:
  {"key":"NA7K35EW","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/NA7K35EW","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NA7K35EW","type":"text/html"}},"meta":{"creatorSummary":"Van Dijk et al.","parsedDate":"2023-12-11","numChildren":1},"data":{"key":"NA7K35EW","version":2095,"itemType":"journalArticle","title":"Uncovering the structures of privacy research using bibliometric network analysis and topic modelling","creators":[{"creatorType":"author","firstName":"Friso","lastName":"Van Dijk"},{"creatorType":"author","firstName":"Joost","lastName":"Gadellaa"},{"creatorType":"author","firstName":"Chaïm","lastName":"Van Toledo"},{"creatorType":"author","firstName":"Marco","lastName":"Spruit"},{"creatorType":"author","firstName":"Sjaak","lastName":"Brinkkemper"},{"creatorType":"author","firstName":"Matthieu","lastName":"Brinkhuis"}],"abstractNote":"Purpose – This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a bibliometric domain analysis as a quantitative approach to uncover the structures within the privacy research field.","publicationTitle":"Organizational Cybersecurity Journal: Practice, Process and People","volume":"3","issue":"2","pages":"81-99","date":"2023-12-11","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"OCJ","language":"en","DOI":"10.1108/OCJ-11-2021-0034","ISSN":"2635-0270, 2635-0289","shortTitle":"","url":"https://www.emerald.com/insight/content/doi/10.1108/OCJ-11-2021-0034/full/html","accessDate":"2024-04-28T12:22:42Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"https://www.emerald.com/insight/site-policies","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:42Z","dateModified":"2024-04-28T12:22:43Z"}}


key: NL7M7JDI
data:
  {"key":"NL7M7JDI","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/NL7M7JDI","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NL7M7JDI","type":"text/html"}},"meta":{"creatorSummary":"Park and Woo","parsedDate":"2022-01-02","numChildren":1},"data":{"key":"NL7M7JDI","version":2095,"itemType":"journalArticle","title":"Who Likes Artificial Intelligence? Personality Predictors of Attitudes toward Artificial Intelligence","creators":[{"creatorType":"author","firstName":"Jiyoung","lastName":"Park"},{"creatorType":"author","firstName":"Sang Eun","lastName":"Woo"}],"abstractNote":"We examined how individuals’ personality relates to various attitudes toward artificial intelligence (AI). Attitudes were organized into two dimensions of affective components (positive and negative emotions) and two dimensions of cognitive components (sociality and functionality). For personality, we focused on the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, openness) and personal innovativeness in information technology. Based on a survey of 1,530 South Korean adults, we found that extraversion was related to negative emotions and low functionality. Agreeableness was associated with both positive and negative emotions, and it was positively associated with sociality and functionality. Conscientiousness was negatively related to negative emotions, and it was associated with high functionality, but also with low sociality. Neuroticism was related to negative emotions, but also to high sociality. Openness was positively linked to functionality, but did not predict other attitudes when other proximal predictors were included (e.g. prior use, personal innovativeness). Personal innovativeness in information technology consistently showed positive attitudes toward AI across all four dimensions. These findings provide mixed support for our hypotheses, and we discuss specific implications for future research and practice.","publicationTitle":"The Journal of Psychology","volume":"156","issue":"1","pages":"68-94","date":"2022-01-02","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"The Journal of Psychology","language":"en","DOI":"10.1080/00223980.2021.2012109","ISSN":"0022-3980, 1940-1019","shortTitle":"Who Likes Artificial Intelligence?","url":"https://www.tandfonline.com/doi/full/10.1080/00223980.2021.2012109","accessDate":"2024-04-28T12:22:46Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:46Z","dateModified":"2024-04-28T12:22:47Z"}}


key: XRFY4PFU
data:
  {"key":"XRFY4PFU","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/XRFY4PFU","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/XRFY4PFU","type":"text/html"}},"meta":{"creatorSummary":"VainionpÃ","parsedDate":"2023","numChildren":1},"data":{"key":"XRFY4PFU","version":2095,"itemType":"journalArticle","title":"A Review of Challenges and Critiques of the European Artificial Intelligence Act (AIA)","creators":[{"creatorType":"author","firstName":"Fanny","lastName":"VainionpÃ"}],"abstractNote":"The Information Systems (IS) research community has been interested in Artificial Intelligence (AI) for many years. The European Commission proposed the European Artificial Intelligence Act (AIA) in April 2021 with the goal of providing a harmonized regulatory framework for the development and deployment of AI technology. The AIA is a unique initiative which holds great significance for IS research and practice. Although the Act has gained significant attention, research has highlighted various challenges and critiques. This systematic literature review categorizes and summarizes existing AIA research to identify these issues, which primarily pertain to the regulation's formulation, compliance, enforcement, and anticipated impacts on industry and civil society. We suggest future IS research directions, focusing on compliance with regulation, formulation of legal regulation, and longitudinal research covering multiple policy cycle stages.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2023","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:50Z","dateModified":"2024-04-28T12:22:50Z"}}


key: PKAFJBST
data:
  {"key":"PKAFJBST","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/PKAFJBST","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/PKAFJBST","type":"text/html"}},"meta":{"creatorSummary":"Bourne","parsedDate":"2019","numChildren":1},"data":{"key":"PKAFJBST","version":2095,"itemType":"journalArticle","title":"AI cheerleaders: Public relations, neoliberalism and artificial intelligence","creators":[{"creatorType":"author","firstName":"Clea","lastName":"Bourne"}],"abstractNote":"Public relations’ (PR) professional habitus is defined by a relentless focus on optimism and futurity. This professional habitus renders PR indispensable to the corporate world after crisis, when new, potentially controversial, growth strategies must be sold-in to stakeholders. This article argues that PR’s professional habitus is heavily influenced by neoliberalism, an ideology which ‘confidently identifies itself with the future’. The discussion is timely, as 21st-century neoliberal capitalism becomes redefined by artificial intelligence (AI). The article combines PR theory, communications theory and political economy to consider the changing shape of neoliberal capitalism, as AI becomes naturalised as ‘common sense’ and a ‘public good’. The article explores how PR supports AI discourses, including promoting AI in national competitiveness and promoting ‘friendly’ AI to consumers, while promoting Internet inequalities. The article concludes that the PR profession’s myopia regarding the implications of promoting AI and neoliberalism is shaped by poor levels of diversity in the PR profession.","publicationTitle":"Public Relations Inquiry","volume":"8","issue":"2","pages":"109-125","date":"05/2019","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Public Relations Inquiry","language":"en","DOI":"10.1177/2046147X19835250","ISSN":"2046-147X, 2046-1488","shortTitle":"AI cheerleaders","url":"http://journals.sagepub.com/doi/10.1177/2046147X19835250","accessDate":"2024-04-28T12:22:53Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:53Z","dateModified":"2024-04-28T12:22:53Z"}}


key: 4DAE8VM8
data:
  {"key":"4DAE8VM8","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/4DAE8VM8","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/4DAE8VM8","type":"text/html"}},"meta":{"creatorSummary":"Tao et al.","parsedDate":"2023","numChildren":1},"data":{"key":"4DAE8VM8","version":2095,"itemType":"journalArticle","title":"AI Plus Other Technologies? The Impact of ChatGPT and Creativity Support Systems on Individual Creativity","creators":[{"creatorType":"author","firstName":"Yanda","lastName":"Tao"},{"creatorType":"author","firstName":"Changseung","lastName":"Yoo"},{"creatorType":"author","firstName":"Animesh","lastName":"Animesh"}],"abstractNote":"The emergence of generative artificial intelligence (AI) has triggered a massive technological surge. Software and systems increasingly incorporate generative AI as a fundamental component of their applications. Unfortunately, there is a lack of awareness of the interaction between generative AI and other tools and their consequences and causes. In this research, we explored the impact of the concurrent use of generative AI and creativity support systems (CSS) on users’ creativity. In addition, by categorizing the stimuli provided by the CSS into high and low relatedness, we further investigated the effects of using generative AI with various CSS. By focusing on the interaction effect between generative AI and CSS, this research not only sheds light on the broader implications of generative AI but also serves as a guiding framework for the evolution of future CSS and furthering the enhancement of individual creativity.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2023","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:22:56Z","dateModified":"2024-04-28T12:22:56Z"}}


key: XGUF4Q7U
data:
  {"key":"XGUF4Q7U","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/XGUF4Q7U","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/XGUF4Q7U","type":"text/html"}},"meta":{"creatorSummary":"Zhang and Dafoe","parsedDate":"2019","numChildren":1},"data":{"key":"XGUF4Q7U","version":2095,"itemType":"journalArticle","title":"Artificial Intelligence: American Attitudes and Trends","creators":[{"creatorType":"author","firstName":"Baobao","lastName":"Zhang"},{"creatorType":"author","firstName":"Allan","lastName":"Dafoe"}],"abstractNote":"","publicationTitle":"SSRN Electronic Journal","volume":"","issue":"","pages":"","date":"2019","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"SSRN Journal","language":"en","DOI":"10.2139/ssrn.3312874","ISSN":"1556-5068","shortTitle":"Artificial Intelligence","url":"https://www.ssrn.com/abstract=3312874","accessDate":"2024-04-28T12:23:00Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:00Z","dateModified":"2024-04-28T12:23:00Z"}}


key: YWZKJEB7
data:
  {"key":"YWZKJEB7","version":2095,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/YWZKJEB7","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/YWZKJEB7","type":"text/html"}},"meta":{"creatorSummary":"Bleier et al.","numChildren":1},"data":{"key":"YWZKJEB7","version":2095,"itemType":"journalArticle","title":"Consumer privacy and the future of data-based innovation and marketing","creators":[{"creatorType":"author","firstName":"Alexander","lastName":"Bleier"},{"creatorType":"author","firstName":"Avi","lastName":"Goldfarb"},{"creatorType":"author","firstName":"Catherine","lastName":"Tucker"}],"abstractNote":"Digitization makes it easier for ﬁrms to build their innovation and marketing eﬀorts around consumers’ personal data. In this research, we employ a privacy perspective based on contextual integrity to examine how such practices can trigger privacy concerns. We propose that small entrepreneurial ﬁrms are often at a particular disadvantage compared to large incumbent ﬁrms. At the same time, we also highlight that there are several strategies ﬁrms can use to mitigate privacy concerns and that in some circumstances, privacy concerns may also exert positive eﬀects on data-driven marketing by stimulating privacy innovation and providing a source of competitive advantage.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:11Z","dateModified":"2024-04-28T12:23:12Z"}}


key: Z6FWI9TY
data:
  {"key":"Z6FWI9TY","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/Z6FWI9TY","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/Z6FWI9TY","type":"text/html"}},"meta":{"creatorSummary":"Solove","parsedDate":"2024","numChildren":1},"data":{"key":"Z6FWI9TY","version":2096,"itemType":"journalArticle","title":"REGULATING BASED ON HARM AND RISK INSTEAD OF SENSITIVE DATA","creators":[{"creatorType":"author","firstName":"Daniel J","lastName":"Solove"}],"abstractNote":"Heightened protection for sensitive data is becoming quite trendy in privacy laws around the world. Originating in European Union (EU) data protection law and included in the EU’s General Data Protection Regulation, sensitive data singles out certain categories of personal data for extra protection. Commonly recognized special categories of sensitive data include racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sexual orientation and sex life, and biometric and genetic data.","publicationTitle":"NORTHWESTERN UNIVERSITY LAW REVIEW","volume":"","issue":"","pages":"","date":"2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:18Z","dateModified":"2024-04-28T12:23:19Z"}}


key: JELTD82H
data:
  {"key":"JELTD82H","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/JELTD82H","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/JELTD82H","type":"text/html"}},"meta":{"creatorSummary":"Seun Solomon Bakare et al.","parsedDate":"2024-03-09","numChildren":1},"data":{"key":"JELTD82H","version":2096,"itemType":"journalArticle","title":"DATA PRIVACY LAWS AND COMPLIANCE: A COMPARATIVE REVIEW OF THE EU GDPR AND USA REGULATIONS","creators":[{"creatorType":"author","name":"Seun Solomon Bakare"},{"creatorType":"author","name":"Adekunle Oyeyemi Adeniyi"},{"creatorType":"author","name":"Chidiogo Uzoamaka Akpuokwe"},{"creatorType":"author","name":"Nkechi Emmanuella Eneh"}],"abstractNote":"This Review provides an overview of the comparative review of data privacy laws and compliance, focusing on the European Union's General Data Protection Regulation (EU GDPR) and data protection regulations in the United States. The analysis explores key similarities and differences, emphasizing their implications for businesses and individuals. The EU GDPR, implemented in 2018, stands as a landmark regulation governing data protection and privacy for individuals within the European Union and the European Economic Area. In contrast, the United States lacks a comprehensive federal data privacy law. Instead, it relies on a patchwork of sector-specific laws and state regulations, such as the California Consumer Privacy Act (CCPA) and the Health Insurance Portability and Accountability Act (HIPAA).  One major distinction lies in the overarching principles of these regulations. The EU GDPR adopts a comprehensive and rights-based approach, emphasizing individual rights to privacy, data portability, and the \"right to be forgotten.\" In contrast, the U.S. system often focuses on specific industries or types of data, leading to a more fragmented regulatory landscape. Both regulatory frameworks incorporate principles of transparency, consent, and data breach notification. However, differences in enforcement mechanisms and penalties exist. The EU GDPR imposes significant fines for non-compliance, reaching up to 4% of a company's global annual revenue. In the U.S., penalties vary by state, and enforcement is often reactive, triggered by data breaches. Businesses operating globally must navigate these distinct regulatory landscapes, necessitating a nuanced approach to data privacy compliance. Multinational corporations must adhere to the more stringent requirements when handling EU citizens' data while also considering the diverse regulations within the U.S. This review underscores the ongoing evolution of data privacy laws worldwide and the critical importance for organizations to stay abreast of these developments. It emphasizes the need for a proactive and adaptive approach to data privacy compliance, taking into account the unique requirements and expectations of both the EU GDPR and U.S. regulations. \nKeywords: Data Privacy, Laws, Compliance, EU GDPR, Regulations.","publicationTitle":"Computer Science & IT Research Journal","volume":"5","issue":"3","pages":"528-543","date":"2024-03-09","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Comput. sci. IT res. j.","language":"","DOI":"10.51594/csitrj.v5i3.859","ISSN":"2709-0051, 2709-0043","shortTitle":"DATA PRIVACY LAWS AND COMPLIANCE","url":"https://fepbl.com/index.php/csitrj/article/view/859","accessDate":"2024-04-28T12:23:28Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"https://creativecommons.org/licenses/by-nc/4.0","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:28Z","dateModified":"2024-04-28T12:23:29Z"}}


key: 6RU3Z6IG
data:
  {"key":"6RU3Z6IG","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/6RU3Z6IG","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/6RU3Z6IG","type":"text/html"}},"meta":{"creatorSummary":"Sherman et al.","numChildren":1},"data":{"key":"6RU3Z6IG","version":2096,"itemType":"journalArticle","title":"Data Brokers and the Sale of Data on U.S. Military Personnel","creators":[{"creatorType":"author","firstName":"Justin","lastName":"Sherman"},{"creatorType":"author","firstName":"Hayley","lastName":"Barton"},{"creatorType":"author","firstName":"Aden","lastName":"Klein"},{"creatorType":"author","firstName":"Brady","lastName":"Kruse"},{"creatorType":"author","firstName":"Anushka","lastName":"Srinivasan"}],"abstractNote":"Background 9 Risks to National Security 14\nMethodology 16 Phase 1 Results: Scraping Data Broker Websites 21 Phase 2 Results: Buying Servicemembers’ Data via U.S. Domain 25 Phase 3 Results: Buying Servicemembers’ Data via .asia Domain 32 Phase 4 Results: Analysis of Purchased Data 37\nConclusion and Policy Recommendations","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:32Z","dateModified":"2024-04-28T12:23:32Z"}}


key: 5SAGDLU7
data:
  {"key":"5SAGDLU7","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/5SAGDLU7","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/5SAGDLU7","type":"text/html"}},"meta":{"creatorSummary":"Project Group Business & Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany et al.","parsedDate":"2020-03-09","numChildren":1},"data":{"key":"5SAGDLU7","version":2096,"itemType":"bookSection","title":"Developing Purposeful AI Use Cases – A Structured Method and Its Application in Project Management","creators":[{"creatorType":"bookAuthor","name":"Institut für Wirtschaftsinformatik und Digitale Gesellschaft e.V. Potsdam"},{"creatorType":"bookAuthor","firstName":"Norbert","lastName":"Gronau"},{"creatorType":"bookAuthor","firstName":"Moreen","lastName":"Heine"},{"creatorType":"bookAuthor","firstName":"K.","lastName":"Poustcchi"},{"creatorType":"bookAuthor","firstName":"H.","lastName":"Krasnova"},{"creatorType":"author","name":"Project Group Business & Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany"},{"creatorType":"author","firstName":"Peter","lastName":"Hofmann"},{"creatorType":"author","firstName":"Jan","lastName":"Jöhnk"},{"creatorType":"author","name":"Project Group Business & Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany"},{"creatorType":"author","firstName":"Dominik","lastName":"Protschky"},{"creatorType":"author","name":"University of Bayreuth, Bayreuth, Germany"},{"creatorType":"author","firstName":"Nils","lastName":"Urbach"},{"creatorType":"author","name":"FIM Research Center, University of Bayreuth, Bayreuth, Germany"}],"abstractNote":"An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence (AI) applications. However, in domains with an unintuitive problem-solution-fit, such as project management (PM), organizations require methodological guidance. Hence, we propose a five-step method to develop organization-specific AI use cases: First, companies must consider the context factors technology, organization (in particular data and application domain), and environment. Second, companies must identify existing domain problems and AI solutions. Third, our method facilitates abstraction to understand the underlying nature of the identified problems and AI solutions. Fourth, our problem-solutionmatrix assists companies to match AI functions with the domain context. Fifth, companies derive necessary implications for the subsequent use case implementation. To construct and evaluate our method, we followed the design science research paradigm complemented by situational method engineering and based on 14 interviews. Our method addresses a relevant practical problem and contributes to identifying purposeful AI use cases in unintuitive application domains.","bookTitle":"WI2020 Zentrale Tracks","series":"","seriesNumber":"","volume":"","numberOfVolumes":"","edition":"","place":"","publisher":"GITO Verlag","date":"2020-3-9","pages":"33-49","language":"en","ISBN":"978-3-95545-335-0","shortTitle":"","url":"https://library.gito.de/2021/07/13/wi2020-zentrale-tracks-2/","accessDate":"2024-04-28T12:23:36Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"DOI: 10.30844/wi_2020_a3-hofmann","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:36Z","dateModified":"2024-04-28T12:23:37Z"}}


key: WATFKYVC
data:
  {"key":"WATFKYVC","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/WATFKYVC","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/WATFKYVC","type":"text/html"}},"meta":{"creatorSummary":"Quach et al.","parsedDate":"2022","numChildren":1},"data":{"key":"WATFKYVC","version":2096,"itemType":"journalArticle","title":"Digital technologies: tensions in privacy and data","creators":[{"creatorType":"author","firstName":"Sara","lastName":"Quach"},{"creatorType":"author","firstName":"Park","lastName":"Thaichon"},{"creatorType":"author","firstName":"Kelly D.","lastName":"Martin"},{"creatorType":"author","firstName":"Scott","lastName":"Weaven"},{"creatorType":"author","firstName":"Robert W.","lastName":"Palmatier"}],"abstractNote":"Driven by data proliferation, digital technologies have transformed the marketing landscape. In parallel, significant privacy concerns have shaken consumer–firm relationships, prompting changes in both regulatory interventions and people’s own privacy-protective behaviors. With a comprehensive analysis of digital technologies and data strategy informed by structuration theory and privacy literature, the authors consider privacy tensions as the product of firm–consumer interactions, facilitated by digital technologies. This perspective in turn implies distinct consumer, regulatory, and firm responses related to data protection. By consolidating various perspectives, the authors propose three tenets and seven propositions, supported by interview insights from senior managers and consumer informants, that create a foundation for understanding the digital technology implications for firm performance in contexts marked by growing privacy worries and legal ramifications. On the basis of this conceptual framework, they also propose a data strategy typology across two main strategic functions of digital technologies: data monetization and data sharing. The result is four distinct types of firms, which engage in disparate behaviors in the broader ecosystem pertaining to privacy issues. This article also provides directions for research, according to a synthesis of findings from both academic and practical perspectives.","publicationTitle":"Journal of the Academy of Marketing Science","volume":"50","issue":"6","pages":"1299-1323","date":"11/2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"J. of the Acad. Mark. Sci.","language":"en","DOI":"10.1007/s11747-022-00845-y","ISSN":"0092-0703, 1552-7824","shortTitle":"Digital technologies","url":"https://link.springer.com/10.1007/s11747-022-00845-y","accessDate":"2024-04-28T12:23:41Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:41Z","dateModified":"2024-04-28T12:23:42Z"}}


key: KYI742AY
data:
  {"key":"KYI742AY","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/KYI742AY","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/KYI742AY","type":"text/html"}},"meta":{"creatorSummary":"van Kolfschooten","numChildren":1},"data":{"key":"KYI742AY","version":2096,"itemType":"journalArticle","title":"EU REGULATION OF ARTIFICIAL INTELLIGENCE: CHALLENGES FOR PATIENTS’ RIGHTS","creators":[{"creatorType":"author","firstName":"Hannah","lastName":"van Kolfschooten"}],"abstractNote":"In order to create a well-functioning internal market for Artificial Intelligence (AI)systems, the European Commission recently proposed the Artificial Intelligence Act. However, this legislative proposal pays limited attention to the health-specific risks the use of AI poses to patients’ rights. This article outlines that fundamental rights impacts associated with AI such as discrimination, diminished privacy and opaque decision-making are exacerbated in the context of health and may threaten the protection of foundational values and core patients’ rights. However, while the EU is facilitating and promoting the use and availability of AI in the health sector in Europe via the Digital Single Market, it is unclear whether it can provide the concomitant patients’ rights protection. This article theorises the Europeanisation of health AI by exploring legal challenges through a patients’ rights lens in order to determine if the European regulatory approach for AI provides for sufficient protection to patients’ rights.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:49Z","dateModified":"2024-04-28T12:23:49Z"}}


key: 36LHCHAX
data:
  {"key":"36LHCHAX","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/36LHCHAX","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/36LHCHAX","type":"text/html"}},"meta":{"creatorSummary":"Kelley et al.","parsedDate":"2021-07-21","numChildren":2},"data":{"key":"36LHCHAX","version":2096,"itemType":"conferencePaper","title":"Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries","creators":[{"creatorType":"author","firstName":"Patrick Gage","lastName":"Kelley"},{"creatorType":"author","firstName":"Yongwei","lastName":"Yang"},{"creatorType":"author","firstName":"Courtney","lastName":"Heldreth"},{"creatorType":"author","firstName":"Christopher","lastName":"Moessner"},{"creatorType":"author","firstName":"Aaron","lastName":"Sedley"},{"creatorType":"author","firstName":"Andreas","lastName":"Kramm"},{"creatorType":"author","firstName":"David T.","lastName":"Newman"},{"creatorType":"author","firstName":"Allison","lastName":"Woodruff"}],"abstractNote":"As the influence and use of artificial intelligence (AI) have grown and its transformative potential has become more apparent, many questions have been raised regarding the economic, political, social, and ethical implications of its use. Public opinion plays an important role in these discussions, influencing product adoption, commercial development, research funding, and regulation. In this paper we present results of an in-depth survey of public opinion of artificial intelligence conducted with 10,005 respondents spanning eight countries and six continents. We report widespread perception that AI will have significant impact on society, accompanied by strong support for the responsible development and use of AI, and also characterize the public’s sentiment towards AI with four key themes (exciting, useful, worrying, and futuristic) whose prevalence distinguishes response to AI in different countries.","date":"2021-07-21","proceedingsTitle":"Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society","conferenceName":"","place":"","publisher":"","volume":"","pages":"627-637","series":"","language":"en","DOI":"10.1145/3461702.3462605","ISBN":"","shortTitle":"Exciting, Useful, Worrying, Futuristic","url":"http://arxiv.org/abs/2001.00081","accessDate":"2024-04-28T12:23:55Z","archive":"","archiveLocation":"","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:2001.00081 [cs]","tags":[{"tag":"Computer Science - Artificial Intelligence","type":1},{"tag":"Computer Science - Computers and Society","type":1},{"tag":"I.2","type":1},{"tag":"K.4.1","type":1}],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:23:55Z","dateModified":"2024-04-28T12:23:56Z"}}


key: NVZBR49G
data:
  {"key":"NVZBR49G","version":2096,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/NVZBR49G","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NVZBR49G","type":"text/html"}},"meta":{"creatorSummary":"Kelley et al.","parsedDate":"2021-07-21","numChildren":2},"data":{"key":"NVZBR49G","version":2096,"itemType":"conferencePaper","title":"Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries","creators":[{"creatorType":"author","firstName":"Patrick Gage","lastName":"Kelley"},{"creatorType":"author","firstName":"Yongwei","lastName":"Yang"},{"creatorType":"author","firstName":"Courtney","lastName":"Heldreth"},{"creatorType":"author","firstName":"Christopher","lastName":"Moessner"},{"creatorType":"author","firstName":"Aaron","lastName":"Sedley"},{"creatorType":"author","firstName":"Andreas","lastName":"Kramm"},{"creatorType":"author","firstName":"David T.","lastName":"Newman"},{"creatorType":"author","firstName":"Allison","lastName":"Woodruff"}],"abstractNote":"As the influence and use of artificial intelligence (AI) have grown and its transformative potential has become more apparent, many questions have been raised regarding the economic, political, social, and ethical implications of its use. Public opinion plays an important role in these discussions, influencing product adoption, commercial development, research funding, and regulation. In this paper we present results of an in-depth survey of public opinion of artificial intelligence conducted with 10,005 respondents spanning eight countries and six continents. We report widespread perception that AI will have significant impact on society, accompanied by strong support for the responsible development and use of AI, and also characterize the public’s sentiment towards AI with four key themes (exciting, useful, worrying, and futuristic) whose prevalence distinguishes response to AI in different countries.","date":"2021-07-21","proceedingsTitle":"Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society","conferenceName":"","place":"","publisher":"","volume":"","pages":"627-637","series":"","language":"en","DOI":"10.1145/3461702.3462605","ISBN":"","shortTitle":"Exciting, Useful, Worrying, Futuristic","url":"http://arxiv.org/abs/2001.00081","accessDate":"2024-04-28T12:24:01Z","archive":"","archiveLocation":"","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:2001.00081 [cs]","tags":[{"tag":"Computer Science - Artificial Intelligence","type":1},{"tag":"Computer Science - Computers and Society","type":1},{"tag":"I.2","type":1},{"tag":"K.4.1","type":1}],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:24:01Z","dateModified":"2024-04-28T12:24:02Z"}}


key: P8NB9H9L
data:
  {"key":"P8NB9H9L","version":2097,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/P8NB9H9L","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/P8NB9H9L","type":"text/html"}},"meta":{"creatorSummary":"Miltgen and Smith","parsedDate":"2019","numChildren":1},"data":{"key":"P8NB9H9L","version":2097,"itemType":"journalArticle","title":"Falsifying and withholding: exploring individuals’ contextual privacy-related decision-making","creators":[{"creatorType":"author","firstName":"Caroline Lancelot","lastName":"Miltgen"},{"creatorType":"author","firstName":"H. Jeff","lastName":"Smith"}],"abstractNote":"","publicationTitle":"Information & Management","volume":"56","issue":"5","pages":"696-717","date":"07/2019","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Information & Management","language":"en","DOI":"10.1016/j.im.2018.11.004","ISSN":"03787206","shortTitle":"Falsifying and withholding","url":"https://linkinghub.elsevier.com/retrieve/pii/S0378720617306778","accessDate":"2024-04-28T12:24:05Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:24:05Z","dateModified":"2024-04-28T12:24:06Z"}}


key: FVNPUFUS
data:
  {"key":"FVNPUFUS","version":2097,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/FVNPUFUS","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/FVNPUFUS","type":"text/html"}},"meta":{"creatorSummary":"Benedicta Ehimuan et al.","parsedDate":"2024-02-28","numChildren":1},"data":{"key":"FVNPUFUS","version":2097,"itemType":"journalArticle","title":"Global data privacy laws: A critical review of technology's impact on user rights","creators":[{"creatorType":"author","name":"Benedicta Ehimuan"},{"creatorType":"author","name":"Ogugua Chimezie, Ob"},{"creatorType":"author","name":"Onyinyechi Vivian Akagha"},{"creatorType":"author","name":"Oluwatosin Reis"},{"creatorType":"author","name":"Bisola Beatrice Oguejiofor"}],"abstractNote":"In the rapidly evolving landscape of technology, the intersection with data privacy laws has become a focal point for scholars, policymakers, and practitioners alike. This paper provides a comprehensive and critical examination of the global data privacy laws in light of the profound impact of technology on user rights. As the digital era progresses, the balance between technological innovation and the protection of individual privacy rights has become increasingly complex. The analysis encompasses a wide range of global data privacy frameworks, including the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other relevant regional legislations. The paper explores the challenges and opportunities presented by emerging technologies, such as artificial intelligence, machine learning, and big data analytics, in shaping the landscape of data protection. Furthermore, the study evaluates the effectiveness and enforcement mechanisms of existing data privacy laws in addressing the ethical implications of technology, particularly in the context of user consent, data breaches, and algorithmic decision-making. Special attention is given to the evolving nature of digital surveillance, biometric data processing, and the implications of crossborder data transfers. In order to foster a comprehensive understanding, the paper also reviews the evolving nature of user rights and consent in the digital age. It critically examines the adequacy of current legal frameworks in addressing the challenges posed by technology-driven intrusions into individual privacy, considering issues of transparency, accountability, and user empowerment. By providing a nuanced analysis of the interplay between global data privacy laws and technological advancements, this paper aims to contribute to the ongoing discourse on the need for adaptive and robust legal frameworks. It calls for a proactive approach to address the evolving landscape, advocating for a harmonized and globally inclusive regulatory environment that safeguards user rights without stifling technological innovation.","publicationTitle":"World Journal of Advanced Research and Reviews","volume":"21","issue":"2","pages":"1058-1070","date":"2024-2-28","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"World J. Adv. Res. Rev.","language":"en","DOI":"10.30574/wjarr.2024.21.2.0369","ISSN":"25819615","shortTitle":"Global data privacy laws","url":"https://wjarr.com/content/global-data-privacy-laws-critical-review-technologys-impact-user-rights","accessDate":"2024-04-28T12:24:11Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:24:11Z","dateModified":"2024-04-28T12:24:11Z"}}


key: NWZCPMY7
data:
  {"key":"NWZCPMY7","version":2097,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/NWZCPMY7","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NWZCPMY7","type":"text/html"}},"meta":{"creatorSummary":"Araujo et al.","parsedDate":"2020","numChildren":1},"data":{"key":"NWZCPMY7","version":2097,"itemType":"journalArticle","title":"In AI we trust? Perceptions about automated decision-making by artificial intelligence","creators":[{"creatorType":"author","firstName":"Theo","lastName":"Araujo"},{"creatorType":"author","firstName":"Natali","lastName":"Helberger"},{"creatorType":"author","firstName":"Sanne","lastName":"Kruikemeier"},{"creatorType":"author","firstName":"Claes H.","lastName":"De Vreese"}],"abstractNote":"Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, (public) health, and judicial contexts. Data from a scenario-based survey experiment with a national sample (N = 958) show that people are by and large concerned about risks and have mixed opinions about fairness and usefulness of automated decision-making at a societal level, with general attitudes influenced by individual characteristics. Interestingly, decisions taken automatically by AI were often evaluated on par or even better than human experts for specific decisions. Theoretical and societal implications about these findings are discussed.","publicationTitle":"AI & SOCIETY","volume":"35","issue":"3","pages":"611-623","date":"09/2020","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"AI & Soc","language":"en","DOI":"10.1007/s00146-019-00931-w","ISSN":"0951-5666, 1435-5655","shortTitle":"In AI we trust?","url":"http://link.springer.com/10.1007/s00146-019-00931-w","accessDate":"2024-04-28T12:24:14Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-28T12:24:14Z","dateModified":"2024-04-28T12:24:15Z"}}


key: NS8NWM7V
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key: 24LYUWSM
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  {"key":"24LYUWSM","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/24LYUWSM","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/24LYUWSM","type":"text/html"}},"meta":{"creatorSummary":"Quach et al.","parsedDate":"2022","numChildren":1},"data":{"key":"24LYUWSM","version":2149,"itemType":"journalArticle","title":"Digital technologies: tensions in privacy and data","creators":[{"creatorType":"author","firstName":"Sara","lastName":"Quach"},{"creatorType":"author","firstName":"Park","lastName":"Thaichon"},{"creatorType":"author","firstName":"Kelly D.","lastName":"Martin"},{"creatorType":"author","firstName":"Scott","lastName":"Weaven"},{"creatorType":"author","firstName":"Robert W.","lastName":"Palmatier"}],"abstractNote":"Driven by data proliferation, digital technologies have transformed the marketing landscape. In parallel, significant privacy concerns have shaken consumer–firm relationships, prompting changes in both regulatory interventions and people’s own privacy-protective behaviors. With a comprehensive analysis of digital technologies and data strategy informed by structuration theory and privacy literature, the authors consider privacy tensions as the product of firm–consumer interactions, facilitated by digital technologies. This perspective in turn implies distinct consumer, regulatory, and firm responses related to data protection. By consolidating various perspectives, the authors propose three tenets and seven propositions, supported by interview insights from senior managers and consumer informants, that create a foundation for understanding the digital technology implications for firm performance in contexts marked by growing privacy worries and legal ramifications. On the basis of this conceptual framework, they also propose a data strategy typology across two main strategic functions of digital technologies: data monetization and data sharing. The result is four distinct types of firms, which engage in disparate behaviors in the broader ecosystem pertaining to privacy issues. This article also provides directions for research, according to a synthesis of findings from both academic and practical perspectives.","publicationTitle":"Journal of the Academy of Marketing Science","volume":"50","issue":"6","pages":"1299-1323","date":"11/2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"J. of the Acad. Mark. Sci.","language":"en","DOI":"10.1007/s11747-022-00845-y","ISSN":"0092-0703, 1552-7824","shortTitle":"Digital technologies","url":"https://link.springer.com/10.1007/s11747-022-00845-y","accessDate":"2024-05-03T11:51:43Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:51:43Z","dateModified":"2024-05-03T11:51:44Z"}}


key: SND7PQ69
data:
  {"key":"SND7PQ69","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/SND7PQ69","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/SND7PQ69","type":"text/html"}},"meta":{"creatorSummary":"Rocher et al.","parsedDate":"2019-07-23","numChildren":1},"data":{"key":"SND7PQ69","version":2149,"itemType":"journalArticle","title":"Estimating the success of re-identifications in incomplete datasets using generative models","creators":[{"creatorType":"author","firstName":"Luc","lastName":"Rocher"},{"creatorType":"author","firstName":"Julien M.","lastName":"Hendrickx"},{"creatorType":"author","firstName":"Yves-Alexandre","lastName":"De Montjoye"}],"abstractNote":"Abstract\n            While rich medical, behavioral, and socio-demographic data are key to modern data-driven research, their collection and use raise legitimate privacy concerns. Anonymizing datasets through de-identification and sampling before sharing them has been the main tool used to address those concerns. We here propose a generative copula-based method that can accurately estimate the likelihood of a specific person to be correctly re-identified, even in a heavily incomplete dataset. On 210 populations, our method obtains AUC scores for predicting individual uniqueness ranging from 0.84 to 0.97, with low false-discovery rate. Using our model, we find that 99.98% of Americans would be correctly re-identified in any dataset using 15 demographic attributes. Our results suggest that even heavily sampled anonymized datasets are unlikely to satisfy the modern standards for anonymization set forth by GDPR and seriously challenge the technical and legal adequacy of the de-identification release-and-forget model.","publicationTitle":"Nature Communications","volume":"10","issue":"1","pages":"3069","date":"2019-07-23","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Nat Commun","language":"en","DOI":"10.1038/s41467-019-10933-3","ISSN":"2041-1723","shortTitle":"","url":"https://www.nature.com/articles/s41467-019-10933-3","accessDate":"2024-05-03T11:51:49Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:51:49Z","dateModified":"2024-05-03T11:51:55Z"}}


key: W66CC7B9
data:
  {"key":"W66CC7B9","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/W66CC7B9","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/W66CC7B9","type":"text/html"}},"meta":{"creatorSummary":"van Kolfschooten","numChildren":1},"data":{"key":"W66CC7B9","version":2149,"itemType":"journalArticle","title":"EU REGULATION OF ARTIFICIAL INTELLIGENCE: CHALLENGES FOR PATIENTS’ RIGHTS","creators":[{"creatorType":"author","firstName":"Hannah","lastName":"van Kolfschooten"}],"abstractNote":"In order to create a well-functioning internal market for Artificial Intelligence (AI)systems, the European Commission recently proposed the Artificial Intelligence Act. However, this legislative proposal pays limited attention to the health-specific risks the use of AI poses to patients’ rights. This article outlines that fundamental rights impacts associated with AI such as discrimination, diminished privacy and opaque decision-making are exacerbated in the context of health and may threaten the protection of foundational values and core patients’ rights. However, while the EU is facilitating and promoting the use and availability of AI in the health sector in Europe via the Digital Single Market, it is unclear whether it can provide the concomitant patients’ rights protection. This article theorises the Europeanisation of health AI by exploring legal challenges through a patients’ rights lens in order to determine if the European regulatory approach for AI provides for sufficient protection to patients’ rights.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:51:57Z","dateModified":"2024-05-03T11:51:57Z"}}


key: YQR583YU
data:
  {"key":"YQR583YU","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/YQR583YU","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/YQR583YU","type":"text/html"}},"meta":{"creatorSummary":"Kelley et al.","parsedDate":"2021-07-21","numChildren":2},"data":{"key":"YQR583YU","version":2149,"itemType":"conferencePaper","title":"Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries","creators":[{"creatorType":"author","firstName":"Patrick Gage","lastName":"Kelley"},{"creatorType":"author","firstName":"Yongwei","lastName":"Yang"},{"creatorType":"author","firstName":"Courtney","lastName":"Heldreth"},{"creatorType":"author","firstName":"Christopher","lastName":"Moessner"},{"creatorType":"author","firstName":"Aaron","lastName":"Sedley"},{"creatorType":"author","firstName":"Andreas","lastName":"Kramm"},{"creatorType":"author","firstName":"David T.","lastName":"Newman"},{"creatorType":"author","firstName":"Allison","lastName":"Woodruff"}],"abstractNote":"As the influence and use of artificial intelligence (AI) have grown and its transformative potential has become more apparent, many questions have been raised regarding the economic, political, social, and ethical implications of its use. Public opinion plays an important role in these discussions, influencing product adoption, commercial development, research funding, and regulation. In this paper we present results of an in-depth survey of public opinion of artificial intelligence conducted with 10,005 respondents spanning eight countries and six continents. We report widespread perception that AI will have significant impact on society, accompanied by strong support for the responsible development and use of AI, and also characterize the public’s sentiment towards AI with four key themes (exciting, useful, worrying, and futuristic) whose prevalence distinguishes response to AI in different countries.","date":"2021-07-21","proceedingsTitle":"Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society","conferenceName":"","place":"","publisher":"","volume":"","pages":"627-637","series":"","language":"en","DOI":"10.1145/3461702.3462605","ISBN":"","shortTitle":"Exciting, Useful, Worrying, Futuristic","url":"http://arxiv.org/abs/2001.00081","accessDate":"2024-05-03T11:52:04Z","archive":"","archiveLocation":"","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:2001.00081 [cs]","tags":[{"tag":"Computer Science - Artificial Intelligence","type":1},{"tag":"Computer Science - Computers and Society","type":1},{"tag":"I.2","type":1},{"tag":"K.4.1","type":1}],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:04Z","dateModified":"2024-05-03T11:52:05Z"}}


key: 5Z6B9UHY
data:
  {"key":"5Z6B9UHY","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/5Z6B9UHY","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/5Z6B9UHY","type":"text/html"}},"meta":{"creatorSummary":"Araujo et al.","parsedDate":"2020","numChildren":1},"data":{"key":"5Z6B9UHY","version":2149,"itemType":"journalArticle","title":"In AI we trust? Perceptions about automated decision-making by artificial intelligence","creators":[{"creatorType":"author","firstName":"Theo","lastName":"Araujo"},{"creatorType":"author","firstName":"Natali","lastName":"Helberger"},{"creatorType":"author","firstName":"Sanne","lastName":"Kruikemeier"},{"creatorType":"author","firstName":"Claes H.","lastName":"De Vreese"}],"abstractNote":"Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, (public) health, and judicial contexts. Data from a scenario-based survey experiment with a national sample (N = 958) show that people are by and large concerned about risks and have mixed opinions about fairness and usefulness of automated decision-making at a societal level, with general attitudes influenced by individual characteristics. Interestingly, decisions taken automatically by AI were often evaluated on par or even better than human experts for specific decisions. Theoretical and societal implications about these findings are discussed.","publicationTitle":"AI & SOCIETY","volume":"35","issue":"3","pages":"611-623","date":"09/2020","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"AI & Soc","language":"en","DOI":"10.1007/s00146-019-00931-w","ISSN":"0951-5666, 1435-5655","shortTitle":"In AI we trust?","url":"http://link.springer.com/10.1007/s00146-019-00931-w","accessDate":"2024-05-03T11:52:08Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:08Z","dateModified":"2024-05-03T11:52:08Z"}}


key: MBXVCLBQ
data:
  {"key":"MBXVCLBQ","version":2149,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/MBXVCLBQ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/MBXVCLBQ","type":"text/html"}},"meta":{"creatorSummary":"Schepman and Rodway","parsedDate":"2020","numChildren":1},"data":{"key":"MBXVCLBQ","version":2149,"itemType":"journalArticle","title":"Initial validation of the general attitudes towards Artificial Intelligence Scale","creators":[{"creatorType":"author","firstName":"Astrid","lastName":"Schepman"},{"creatorType":"author","firstName":"Paul","lastName":"Rodway"}],"abstractNote":"A new General Attitudes towards Artiﬁcial Intelligence Scale (GAAIS) was developed. The scale underwent initial statistical validation via Exploratory Factor Analysis, which identiﬁed positive and negative subscales. Both subscales captured emotions in line with their valence. In addition, the positive subscale reﬂected societal and personal utility, whereas the negative subscale reﬂected concerns. The scale showed good psychometric indices and convergent and discriminant validity against existing measures. To cross-validate general attitudes with attitudes towards speciﬁc instances of AI applications, summaries of tasks accomplished by speciﬁc applications of Artiﬁcial Intelligence were sourced from newspaper articles. These were rated for comfortableness and perceived capability. Comfortableness with speciﬁc applications was a strong predictor of general attitudes as measured by the GAAIS, but perceived capability was a weaker predictor. Participants viewed AI applications involving big data (e.g. astronomy, law, pharmacology) positively, but viewed applications for tasks involving human judgement, (e.g. medical treatment, psychological counselling) negatively. Applications with a strong ethical dimension led to stronger discomfort than their rated capabilities would predict. The survey data suggested that people held mixed views of AI. The initially validated two-factor GAAIS to measure General Attitudes towards Artiﬁcial Intelligence is included in the Appendix.","publicationTitle":"Computers in Human Behavior Reports","volume":"1","issue":"","pages":"100014","date":"01/2020","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Computers in Human Behavior Reports","language":"en","DOI":"10.1016/j.chbr.2020.100014","ISSN":"24519588","shortTitle":"","url":"https://linkinghub.elsevier.com/retrieve/pii/S2451958820300142","accessDate":"2024-05-03T11:52:13Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:13Z","dateModified":"2024-05-03T11:52:13Z"}}


key: 9G8WNVLE
data:
  {"key":"9G8WNVLE","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/9G8WNVLE","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/9G8WNVLE","type":"text/html"}},"meta":{"creatorSummary":"Škrinjarić et al.","parsedDate":"2019-01-01","numChildren":1},"data":{"key":"9G8WNVLE","version":2150,"itemType":"journalArticle","title":"Perceived quality of privacy protection regulations and online privacy concern","creators":[{"creatorType":"author","firstName":"Bruno","lastName":"Škrinjarić"},{"creatorType":"author","firstName":"Jelena","lastName":"Budak"},{"creatorType":"author","firstName":"Edo","lastName":"Rajh"}],"abstractNote":"This study examines the impact of regulation as an antecedent of online privacy concern. Previous research found that perceived effectiveness and enforcement of regulatory policies reduce online privacy concern; however, it does not explain what factors influence this relationship. Based on the survey data, the empirical analysis is conducted on a large sample of internet users in Croatia. Our methodology consists of two parts: first, we use confirmatory factor analysis to validate the latent constructs used in the main model; and then we proceed with model estimation using OLS and ordered probit techniques. This study fills the gap in the existing body of knowledge by analysing different perceptions of the existing legislation and government effort to protect online privacy in the context of sociodemographic characteristics of respondents, computer anxiety, individual desire to maintain control of personal information online, as well as intensity and diversity of online activities. Our results indicate that perceived effectiveness of government regulation reduces online privacy concern whereas computer anxiety has a major positive impact on online privacy concern. These findings might be useful for national policy-makers and for business strategies, especially in the context of the GDPR regulation introduced in 2018.","publicationTitle":"Economic Research-Ekonomska Istraživanja","volume":"32","issue":"1","pages":"982-1000","date":"2019-01-01","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Economic Research-Ekonomska Istraživanja","language":"en","DOI":"10.1080/1331677X.2019.1585272","ISSN":"1331-677X, 1848-9664","shortTitle":"","url":"https://www.tandfonline.com/doi/full/10.1080/1331677X.2019.1585272","accessDate":"2024-05-03T11:52:22Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:22Z","dateModified":"2024-05-03T11:52:22Z"}}


key: HWF2UWTC
data:
  {"key":"HWF2UWTC","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/HWF2UWTC","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/HWF2UWTC","type":"text/html"}},"meta":{"creatorSummary":"van Dijk et al.","parsedDate":"2021","numChildren":1},"data":{"key":"HWF2UWTC","version":2150,"itemType":"journalArticle","title":"PILLARS OF PRIVACY: IDENTIFYING CORE THEORY IN A NETWORK ANALYSIS OF PRIVACY LITERATURE","creators":[{"creatorType":"author","firstName":"Friso","lastName":"van Dijk"},{"creatorType":"author","firstName":"Marco","lastName":"Spruit"},{"creatorType":"author","firstName":"Chaïm","lastName":"van Toledo"},{"creatorType":"author","firstName":"Matthieu","lastName":"Brinkhuis"}],"abstractNote":"Privacy research is divided in distinct communities and rarely considered as a singular ﬁeld. This is harmful to its disciplinary identity. We used a bibliometric network analysis as a quantitative technique to investigate the privacy research community by its collective output and identify its core theories. The network consists of 83,159 publications with 462,633 internal references in 90 distinct topics. The 112 most inﬂuential publications in the privacy research community were selected through centrality measures, providing 11 core theories that see widespread adoption in privacy research. We found a gap between research on the individual and organisational levels of analysis, ﬁnding the latter underrepresented in the ﬁeld’s inﬂuential theories. We propose the Pillars of Privacy framework as a high-level multilevel framework for privacy research. The framework classiﬁes core theories on four levels of analysis along three pillars of privacy research: Privacy Concern, Privacy Calculus and Behavioural Outcomes.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:24Z","dateModified":"2024-05-03T11:52:24Z"}}


key: TSXGEIQR
data:
  {"key":"TSXGEIQR","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/TSXGEIQR","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/TSXGEIQR","type":"text/html"}},"meta":{"creatorSummary":"Bae et al.","numChildren":1},"data":{"key":"TSXGEIQR","version":2150,"itemType":"journalArticle","title":"Privacy Regulation and Its Unintended Consequence on Consumption Behaviors: Evidence From CCPA","creators":[{"creatorType":"author","firstName":"Donghwa","lastName":"Bae"},{"creatorType":"author","firstName":"Raveesh","lastName":"Mayya"},{"creatorType":"author","firstName":"Tingting","lastName":"Nian"}],"abstractNote":"This study explores the unintended consequences of data protection regulations on consumer behavior. Specifically, we examine the California Consumer Privacy Act, which restricts companies from collecting Californians’ personal information. Privacy regulations may limit firms’ ability to suggest products aligned with consumers’ taste predicted from data, potentially influencing subsequent consumer behavior. These regulations especially pose a challenge to digital platforms, as their success hinges on seamless data flow between firms and consumers. Using a difference-in-differences approach with transaction data, we find that post-CCPA, Californians reduce purchase by 4.1%, increase returns by 2.9%. Moreover, we find that Californians spend more time online and visit more webpages, potentially indicating increased search efforts. Mechanism analysis suggests that firms under CCPA proactively alter their data collection strategy to reduce the liability. These results reveal the complex interplay between privacy regulation and consumer behavior, highlighting the need for a nuanced understanding of the trade-offs between privacy protection and economic outcomes.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:26Z","dateModified":"2024-05-03T11:52:26Z"}}


key: H3BHPD34
data:
  {"key":"H3BHPD34","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/H3BHPD34","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/H3BHPD34","type":"text/html"}},"meta":{"creatorSummary":"Lefouili and Toh","numChildren":1},"data":{"key":"H3BHPD34","version":2150,"itemType":"journalArticle","title":"Réglementation sur la protection de la vie privée et investissement dans la qualité","creators":[{"creatorType":"author","firstName":"Yassine","lastName":"Lefouili"},{"creatorType":"author","firstName":"Ying Lei","lastName":"Toh"}],"abstractNote":"","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"fr","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:28Z","dateModified":"2024-05-03T11:52:28Z"}}


key: 4IM8J4KA
data:
  {"key":"4IM8J4KA","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/4IM8J4KA","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/4IM8J4KA","type":"text/html"}},"meta":{"creatorSummary":"Lefouili and Toh","parsedDate":"2019-09-20","numChildren":1},"data":{"key":"4IM8J4KA","version":2150,"itemType":"journalArticle","title":"Privacy Regulation and Quality Investment","creators":[{"creatorType":"author","firstName":"Yassine","lastName":"Lefouili"},{"creatorType":"author","firstName":"Ying Lei","lastName":"Toh"}],"abstractNote":"This paper analyzes how a privacy regulation restricting data disclosure affects quality investment by a monopoly service provider—who derives revenues solely from disclosing user data to third parties—and social welfare. In our model, a user’s gross utility from the service depends on its quality and the amount of information disclosed. We show that in a fully covered market, the regulation reduces quality investment but may still be socially desirable when quality and information are not strong complements from consumers’ perspective. In a partially covered market, the regulation may raise quality and social welfare even when quality and information are highly complementary.","publicationTitle":"The Federal Reserve Bank of Kansas City Research Working Papers","volume":"","issue":"","pages":"","date":"2019-9-20","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"RWP","language":"en","DOI":"10.18651/RWP2019-05","ISSN":"19365330","shortTitle":"","url":"https://www.kansascityfed.org/research/research-working-papers/privacy-regulation-quality-investment-2019/","accessDate":"2024-05-03T11:52:32Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:32Z","dateModified":"2024-05-03T11:52:33Z"}}


key: 5TAFE8EK
data:
  {"key":"5TAFE8EK","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/5TAFE8EK","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/5TAFE8EK","type":"text/html"}},"meta":{"creatorSummary":"Peukert et al.","parsedDate":"2022","numChildren":1},"data":{"key":"5TAFE8EK","version":2150,"itemType":"journalArticle","title":"Regulatory Spillovers and Data Governance: Evidence from the GDPR","creators":[{"creatorType":"author","firstName":"Christian","lastName":"Peukert"},{"creatorType":"author","firstName":"Stefan","lastName":"Bechtold"},{"creatorType":"author","firstName":"Michail","lastName":"Batikas"},{"creatorType":"author","firstName":"Tobias","lastName":"Kretschmer"}],"abstractNote":"We document short-run changes in websites and the web technology industry with the introduction of the European General Data Protection Regulation (GDPR). We follow more than 110,000 websites and their third-party HTTP requests for 12 months before and 6 months after the GDPR became effective and show that websites substantially reduced their interactions with web technology providers. Importantly, this also holds for websites not legally bound by the GDPR. These changes are especially pronounced among less popular websites and regarding the collection of personal data. We document an increase in market concentration in web technology services after the introduction of the GDPR: Although all ﬁrms suffer losses, the largest vendor—Google—loses relatively less and signiﬁcantly increases market share in important markets such as advertising and analytics. Our ﬁndings contribute to the discussion on how regulating privacy, artiﬁcial intelligence and other areas of data governance relate to data minimization, regulatory competition, and market structure.","publicationTitle":"Marketing Science","volume":"41","issue":"4","pages":"746-768","date":"07/2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Marketing Science","language":"en","DOI":"10.1287/mksc.2021.1339","ISSN":"0732-2399, 1526-548X","shortTitle":"Regulatory Spillovers and Data Governance","url":"https://pubsonline.informs.org/doi/10.1287/mksc.2021.1339","accessDate":"2024-05-03T11:52:36Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:36Z","dateModified":"2024-05-03T11:52:36Z"}}


key: LHZKPSCC
data:
  {"key":"LHZKPSCC","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/LHZKPSCC","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/LHZKPSCC","type":"text/html"}},"meta":{"creatorSummary":"Dwivedi et al.","parsedDate":"2021","numChildren":1},"data":{"key":"LHZKPSCC","version":2150,"itemType":"journalArticle","title":"Setting the future of digital and social media marketing research: Perspectives and research propositions","creators":[{"creatorType":"author","firstName":"Yogesh K.","lastName":"Dwivedi"},{"creatorType":"author","firstName":"Elvira","lastName":"Ismagilova"},{"creatorType":"author","firstName":"D. Laurie","lastName":"Hughes"},{"creatorType":"author","firstName":"Jamie","lastName":"Carlson"},{"creatorType":"author","firstName":"Raffaele","lastName":"Filieri"},{"creatorType":"author","firstName":"Jenna","lastName":"Jacobson"},{"creatorType":"author","firstName":"Varsha","lastName":"Jain"},{"creatorType":"author","firstName":"Heikki","lastName":"Karjaluoto"},{"creatorType":"author","firstName":"Hajer","lastName":"Kefi"},{"creatorType":"author","firstName":"Anjala S.","lastName":"Krishen"},{"creatorType":"author","firstName":"Vikram","lastName":"Kumar"},{"creatorType":"author","firstName":"Mohammad M.","lastName":"Rahman"},{"creatorType":"author","firstName":"Ramakrishnan","lastName":"Raman"},{"creatorType":"author","firstName":"Philipp A.","lastName":"Rauschnabel"},{"creatorType":"author","firstName":"Jennifer","lastName":"Rowley"},{"creatorType":"author","firstName":"Jari","lastName":"Salo"},{"creatorType":"author","firstName":"Gina A.","lastName":"Tran"},{"creatorType":"author","firstName":"Yichuan","lastName":"Wang"}],"abstractNote":"The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of chal­ lenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.","publicationTitle":"International Journal of Information Management","volume":"59","issue":"","pages":"102168","date":"08/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"International Journal of Information Management","language":"en","DOI":"10.1016/j.ijinfomgt.2020.102168","ISSN":"02684012","shortTitle":"Setting the future of digital and social media marketing research","url":"https://linkinghub.elsevier.com/retrieve/pii/S0268401220308082","accessDate":"2024-05-03T11:52:40Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:40Z","dateModified":"2024-05-03T11:52:40Z"}}


key: P7P968EM
data:
  {"key":"P7P968EM","version":2150,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/P7P968EM","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/P7P968EM","type":"text/html"}},"meta":{"creatorSummary":"Zac et al.","parsedDate":"2024","numChildren":1},"data":{"key":"P7P968EM","version":2150,"itemType":"journalArticle","title":"The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR","creators":[{"creatorType":"author","firstName":"Amit","lastName":"Zac"},{"creatorType":"author","firstName":"Pablo","lastName":"Wey"},{"creatorType":"author","firstName":"Stefan","lastName":"Bechtold"},{"creatorType":"author","firstName":"David","lastName":"Rodriguez"},{"creatorType":"author","firstName":"Jose M.","lastName":"Del Alamo"}],"abstractNote":"In July 2020, the European Court of Justice invalidated the EU-US Privacy Shield with immediate effect (“Schrems II”). As a result, almost all personal data transfers from the European Union to the United States became illegal overnight. We present a unique dataset allowing us not only to observe what firms say about their behavior in privacy policies, but also how firms actually behave. Using machine-learning tools, we analyze the privacy policies of over 7,500 apps on the Spanish Google Play Store and find limited compliance with the Schrems II decision. We validate the quality of our classifier through manual inspection of privacy policies. Using tools from IT security research, we are able to observe the actual personal data traffic flows leaving apps towards the United States after Schrems II. Combining our observations on privacy policies and data traffic flows, our findings on compliance with Schrems II are sobering. A few weeks after Schrems II was decided, only 23% of the studied apps in our sample seem to comply with the decision while 77% seem to violate the GDPR. Over two years after Schrems II, the rate of compliant apps increases, yet we estimate that roughly 45% of the apps are non-compliant. We examine the implications our findings have for the design and enforcement of the GDPR, and on the notion of diffusion of EU laws (‘Brussle effect’) and discuss how the combination of an automated analysis of contracts and of actual data traffic flows can improve our understanding on how to regulate the digital economy at large scale.","publicationTitle":"SSRN Electronic Journal","volume":"","issue":"","pages":"","date":"2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"SSRN Journal","language":"en","DOI":"10.2139/ssrn.4709913","ISSN":"1556-5068","shortTitle":"The Court Speaks, But Who Listens?","url":"https://www.ssrn.com/abstract=4709913","accessDate":"2024-05-03T11:52:52Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:52Z","dateModified":"2024-05-03T11:52:52Z"}}


key: T9LBT6EH
data:
  {"key":"T9LBT6EH","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/T9LBT6EH","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/T9LBT6EH","type":"text/html"}},"meta":{"creatorSummary":"Krämer","parsedDate":"2024-04-02","numChildren":1},"data":{"key":"T9LBT6EH","version":2151,"itemType":"journalArticle","title":"The death of privacy policies: How app stores shape GDPR compliance of apps","creators":[{"creatorType":"author","firstName":"Julia","lastName":"Krämer"}],"abstractNote":"The General Data Protection Regulation (GDPR) obliges data controllers to inform users about data processing practices. Long criticised for inefficiency, privacy policies face a substantive shift with the recent introduction of privacy labels by the Apple App Store and the Google Play Store. This paper illustrates how privacy disclosures of apps are governed by both the GDPR and the contractual obligations of app stores and is complemented by empirical insights into the privacy disclosures of 845,375 apps from the Apple App Store and 1,657,353 apps from the Google Play Store. While the GDPR allows for the use of privacy labels as a complementary tool next to privacy policies, the design of the privacy labels does not satisfy the standards set in Art. 5(1)(a) GDPR and Art. 12-14 GDPR. The app stores may consequently distort the compliance of apps with data protection laws. The empirical data highlight further problems with the privacy labels. The design of the labels favours disclosures of developers that offer a variety of apps that can process data across different services and contradictory disclosures do not get flagged nor verified by app stores. The paper contributes to the overall discussion of how app stores in their role as intermediaries govern privacy standards and the impact of private sector-led initiatives.","publicationTitle":"Internet Policy Review","volume":"13","issue":"2","pages":"","date":"2024-04-02","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"10.14763/2024.2.1757","ISSN":"2197-6775","shortTitle":"The death of privacy policies","url":"https://policyreview.info/articles/analysis/death-privacy-policies-how-app-stores-shape-gdpr-compliance-apps","accessDate":"2024-05-03T11:52:55Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:55Z","dateModified":"2024-05-03T11:52:56Z"}}


key: TBDB4TP6
data:
  {"key":"TBDB4TP6","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/TBDB4TP6","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/TBDB4TP6","type":"text/html"}},"meta":{"creatorSummary":"Li and Quinn","parsedDate":"2024","numChildren":1},"data":{"key":"TBDB4TP6","version":2151,"itemType":"journalArticle","title":"The European Health Data Space: An expanded right to data portability?","creators":[{"creatorType":"author","firstName":"Wenkai","lastName":"Li"},{"creatorType":"author","firstName":"Paul","lastName":"Quinn"}],"abstractNote":"The European Commission recently released its proposal for a Regulation giving rise to a European Health Data Space (EHDS), as the first domain-specific common European data space under the European Union’s data strategy. The proposed EHDS aims to improve access to and control by individuals of their personal electronic health data in primary use and increase data availability for secondary use purposes. This article is primarily concerned with the ambition to enhance the right of natural persons to data portability and promote interop­ erability in the health sector. This article seeks to delineate to what extent they represent a new and expanded right alongside the right to data portability provided in the General Data Protection Regulation (GDPR). In comparing this new expanded right to the original right outlined in Article 20 of the GDPR, the authors argue that Article 3(8) of the EHDS proposal represents an important expansion with the potential to allow individuals more possibility to control and mobilise their electronic health data, especially those elements located within Electronic Health Records (EHRs). This will also be facilitated by the strengthened interoperability requirements foreseen by the EHDS proposal. However, this paper also identifies several limitations and inconsistencies in the new data portability right which could potentially hinder its functioning. This notably includes the proposal’s failure to take into account the need for data portability for secondary use purposes, and the unclear relationship of Article 3(8) of the proposal with Article 9 of the GDPR. It is recommended that these points should be considered carefully in future versions of the EHDS proposal.","publicationTitle":"Computer Law & Security Review","volume":"52","issue":"","pages":"105913","date":"04/2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Computer Law & Security Review","language":"en","DOI":"10.1016/j.clsr.2023.105913","ISSN":"02673649","shortTitle":"The European Health Data Space","url":"https://linkinghub.elsevier.com/retrieve/pii/S0267364923001231","accessDate":"2024-05-03T11:52:59Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:59Z","dateModified":"2024-05-03T11:52:59Z"}}


key: 52QLH2FH
data:
  {"key":"52QLH2FH","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/52QLH2FH","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/52QLH2FH","type":"text/html"}},"meta":{"creatorSummary":"Frik et al.","numChildren":1},"data":{"key":"52QLH2FH","version":2151,"itemType":"journalArticle","title":"The Impact of Ad-Blockers on Product Search and Purchase Behavior: A Lab Experiment","creators":[{"creatorType":"author","firstName":"Alisa","lastName":"Frik"},{"creatorType":"author","firstName":"Amelia M","lastName":"Haviland"},{"creatorType":"author","firstName":"Alessandro","lastName":"Acquisti"}],"abstractNote":"Ad-blocking applications have become increasingly popular among Internet users. Ad-blockers offer various privacy- and security-enhancing features: they can reduce personal data collection and exposure to malicious advertising, help safeguard users’ decision-making autonomy, reduce users’ costs (by increasing the speed of page loading), and improve the browsing experience (by reducing visual clutter). On the other hand, the online advertising industry has claimed that ads increase consumers’ economic welfare by helping them ﬁnd better, cheaper deals faster. If so, using ad-blockers would deprive consumers of these beneﬁts. However, little is known about the actual economic impact of ad-blockers.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:01Z","dateModified":"2024-05-03T11:53:02Z"}}


key: H73DBGQR
data:
  {"key":"H73DBGQR","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/H73DBGQR","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/H73DBGQR","type":"text/html"}},"meta":{"creatorSummary":"Jia et al.","numChildren":1},"data":{"key":"H73DBGQR","version":2151,"itemType":"journalArticle","title":"The Short-Run Eﬀects of GDPR on Technology Venture Investment","creators":[{"creatorType":"author","firstName":"Jian","lastName":"Jia"},{"creatorType":"author","firstName":"Ginger Zhe","lastName":"Jin"},{"creatorType":"author","firstName":"Liad","lastName":"Wagman"}],"abstractNote":"The General Data Protection Regulation (GDPR) was enacted in the European Union in April 2016 and went into eﬀect in May 2018. We study its impact on investment in new and emerging technology ﬁrms. Our ﬁndings indicate negative post-GDPR eﬀects after its 2018 rollout on European ventures, relative to their counterparts in the US and the rest of the world, and considerably lesser eﬀects after its 2016 enactment and before implementation. The negative eﬀects manifest in the number of and amounts raised in ﬁnancing deals, and are particularly pronounced for newer, data-related, and business-to-consumer ventures.","publicationTitle":"","volume":"","issue":"","pages":"","date":"","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:03Z","dateModified":"2024-05-03T11:53:03Z"}}


key: PCKAGXSQ
data:
  {"key":"PCKAGXSQ","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/PCKAGXSQ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/PCKAGXSQ","type":"text/html"}},"meta":{"creatorSummary":"Kieslich et al.","parsedDate":"2021","numChildren":1},"data":{"key":"PCKAGXSQ","version":2151,"itemType":"journalArticle","title":"The Threats of Artificial Intelligence Scale (TAI): Development, Measurement and Test Over Three Application Domains","creators":[{"creatorType":"author","firstName":"Kimon","lastName":"Kieslich"},{"creatorType":"author","firstName":"Marco","lastName":"Lünich"},{"creatorType":"author","firstName":"Frank","lastName":"Marcinkowski"}],"abstractNote":"In recent years Artiﬁcial Intelligence (AI) has gained much popularity, with the scientiﬁc community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals, respectively. Several opinion polls frequently query the public fear of autonomous robots and artiﬁcial intelligence, a phenomenon coming also into scholarly focus. As potential threat perceptions arguably vary with regard to the reach and consequences of AI functionalities and the domain of application, research still lacks necessary precision of a respective measurement that allows for wide-spread research applicability. We propose a ﬁne-grained scale to measure threat perceptions of AI that accounts for four functional classes of AI systems and is applicable to various domains of AI applications. Using a standardized questionnaire in a survey study (N = 891), we evaluate the scale over three distinct AI domains (medical treatment, job recruitment, and loan origination). The data support the dimensional structure of the proposed Threats of AI (TAI) scale as well as the internal consistency and factoral validity of the indicators. Implications of the results and the empirical application of the scale are discussed in detail. Recommendations for further empirical use of the TAI scale are provided.","publicationTitle":"International Journal of Social Robotics","volume":"13","issue":"7","pages":"1563-1577","date":"11/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Int J of Soc Robotics","language":"en","DOI":"10.1007/s12369-020-00734-w","ISSN":"1875-4791, 1875-4805","shortTitle":"The Threats of Artificial Intelligence Scale (TAI)","url":"https://link.springer.com/10.1007/s12369-020-00734-w","accessDate":"2024-05-03T11:53:07Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:07Z","dateModified":"2024-05-03T11:53:08Z"}}


key: KPMP7SGK
data:
  {"key":"KPMP7SGK","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/KPMP7SGK","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/KPMP7SGK","type":"text/html"}},"meta":{"creatorSummary":"Siegmann and Anderljung","parsedDate":"2022-10-14","numChildren":1},"data":{"key":"KPMP7SGK","version":2151,"itemType":"preprint","title":"The Brussels Effect and Artificial Intelligence","creators":[{"creatorType":"author","firstName":"Charlotte","lastName":"Siegmann"},{"creatorType":"author","firstName":"Markus","lastName":"Anderljung"}],"abstractNote":"The European Union is likely to introduce among the first, and most comprehensive AI regulatory regimes of the world’s major jurisdictions. We ask whether the EU’s upcoming regulation for AI will diffuse globally, producing a so-called “Brussels Effect”. Extending Anu Bradford’s work, we outline the mechanisms by which such regulatory diffusion may occur. We consider both the possibility that the EU’s AI regulation will incentivise changes in products offered in non-EU countries (a de facto Brussels Effect) and the possibility it will influence regulation adopted by other jurisdictions (a de jure Brussels Effect). Focusing on the proposed EU AI Act, we tentatively conclude that both de facto and de jure Brussels effects are likely. A de facto effect is particularly likely to arise in large US tech companies with “high-risk” AI systems. The upcoming regulation might be important in offering the first operationalisation of developing and deploying trustworthy AI.","genre":"","repository":"","archiveID":"","place":"","date":"2022-10-14","series":"","seriesNumber":"","DOI":"10.33774/apsa-2022-vxtsl","citationKey":"","url":"https://preprints.apsanet.org/engage/apsa/article-details/634849133e8d99f02d18b1d2","accessDate":"2024-05-03T11:53:10Z","archive":"","archiveLocation":"","shortTitle":"","language":"en","libraryCatalog":"Politics and International Relations","callNumber":"","rights":"https://preprints.apsanet.org/engage/apsa/legal-information?show=terms-of-use","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:10Z","dateModified":"2024-05-03T11:53:11Z"}}


key: 84RXSXC2
data:
  {"key":"84RXSXC2","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/84RXSXC2","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/84RXSXC2","type":"text/html"}},"meta":{"creatorSummary":"Greengard","parsedDate":"2018-10-26","numChildren":1},"data":{"key":"84RXSXC2","version":2151,"itemType":"journalArticle","title":"Weighing the impact of GDPR","creators":[{"creatorType":"author","firstName":"Samuel","lastName":"Greengard"}],"abstractNote":"The EU data regulation will affect computer, Internet, and technology usage within and outside the EU; how it will play out remains to be seen.","publicationTitle":"Communications of the ACM","volume":"61","issue":"11","pages":"16-18","date":"2018-10-26","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Commun. ACM","language":"en","DOI":"10.1145/3276744","ISSN":"0001-0782, 1557-7317","shortTitle":"","url":"https://dl.acm.org/doi/10.1145/3276744","accessDate":"2024-05-03T11:53:14Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:14Z","dateModified":"2024-05-03T11:53:15Z"}}


key: 65ECCHUC
data:
  {"key":"65ECCHUC","version":2151,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/65ECCHUC","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/65ECCHUC","type":"text/html"}},"meta":{"creatorSummary":"Dwivedi et al.","parsedDate":"2021","numChildren":1},"data":{"key":"65ECCHUC","version":2151,"itemType":"journalArticle","title":"Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy","creators":[{"creatorType":"author","firstName":"Yogesh K.","lastName":"Dwivedi"},{"creatorType":"author","firstName":"Laurie","lastName":"Hughes"},{"creatorType":"author","firstName":"Elvira","lastName":"Ismagilova"},{"creatorType":"author","firstName":"Gert","lastName":"Aarts"},{"creatorType":"author","firstName":"Crispin","lastName":"Coombs"},{"creatorType":"author","firstName":"Tom","lastName":"Crick"},{"creatorType":"author","firstName":"Yanqing","lastName":"Duan"},{"creatorType":"author","firstName":"Rohita","lastName":"Dwivedi"},{"creatorType":"author","firstName":"John","lastName":"Edwards"},{"creatorType":"author","firstName":"Aled","lastName":"Eirug"},{"creatorType":"author","firstName":"Vassilis","lastName":"Galanos"},{"creatorType":"author","firstName":"P. Vigneswara","lastName":"Ilavarasan"},{"creatorType":"author","firstName":"Marijn","lastName":"Janssen"},{"creatorType":"author","firstName":"Paul","lastName":"Jones"},{"creatorType":"author","firstName":"Arpan Kumar","lastName":"Kar"},{"creatorType":"author","firstName":"Hatice","lastName":"Kizgin"},{"creatorType":"author","firstName":"Bianca","lastName":"Kronemann"},{"creatorType":"author","firstName":"Banita","lastName":"Lal"},{"creatorType":"author","firstName":"Biagio","lastName":"Lucini"},{"creatorType":"author","firstName":"Rony","lastName":"Medaglia"},{"creatorType":"author","firstName":"Kenneth","lastName":"Le Meunier-FitzHugh"},{"creatorType":"author","firstName":"Leslie Caroline","lastName":"Le Meunier-FitzHugh"},{"creatorType":"author","firstName":"Santosh","lastName":"Misra"},{"creatorType":"author","firstName":"Emmanuel","lastName":"Mogaji"},{"creatorType":"author","firstName":"Sujeet Kumar","lastName":"Sharma"},{"creatorType":"author","firstName":"Jang Bahadur","lastName":"Singh"},{"creatorType":"author","firstName":"Vishnupriya","lastName":"Raghavan"},{"creatorType":"author","firstName":"Ramakrishnan","lastName":"Raman"},{"creatorType":"author","firstName":"Nripendra P.","lastName":"Rana"},{"creatorType":"author","firstName":"Spyridon","lastName":"Samothrakis"},{"creatorType":"author","firstName":"Jak","lastName":"Spencer"},{"creatorType":"author","firstName":"Kuttimani","lastName":"Tamilmani"},{"creatorType":"author","firstName":"Annie","lastName":"Tubadji"},{"creatorType":"author","firstName":"Paul","lastName":"Walton"},{"creatorType":"author","firstName":"Michael D.","lastName":"Williams"}],"abstractNote":"As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportu­ nities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.","publicationTitle":"International Journal of Information Management","volume":"57","issue":"","pages":"101994","date":"04/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"International Journal of Information Management","language":"en","DOI":"10.1016/j.ijinfomgt.2019.08.002","ISSN":"02684012","shortTitle":"Artificial Intelligence (AI)","url":"https://linkinghub.elsevier.com/retrieve/pii/S026840121930917X","accessDate":"2024-05-03T11:53:18Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:18Z","dateModified":"2024-05-03T11:53:19Z"}}


key: KXJRT472
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key: UH3UFDQK
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key: 7F7X5MPL
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key: 4S99XVCV
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key: 8WCNM58F
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key: UVE7VMFB
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key: MYNJDT98
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key: ALFU9G4K
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key: VR9V3Z2G
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key: YTICZ5W4
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key: 8G2XFZR9
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key: LU57CRIQ
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key: ST3ZH24T
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key: RSVEUHUU
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Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportu­ nities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.","publicationTitle":"International Journal of Information Management","volume":"57","issue":"","pages":"101994","date":"04/2021","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"International Journal of Information Management","language":"en","DOI":"10.1016/j.ijinfomgt.2019.08.002","ISSN":"02684012","shortTitle":"Artificial Intelligence (AI)","url":"https://linkinghub.elsevier.com/retrieve/pii/S026840121930917X","accessDate":"2024-05-04T11:08:32Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["E28DSAFY"],"relations":{},"dateAdded":"2024-05-04T11:08:32Z","dateModified":"2024-05-04T11:08:33Z"}}


key: 8SV6AGSP
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key: DEMDBUVP
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key: YU5HNKEN
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key: LU852LPL
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key: 8FXB89S7
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key: 8DNJ7ZG6
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  {"key":"8DNJ7ZG6","version":2249,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/8DNJ7ZG6","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/8DNJ7ZG6","type":"text/html"}},"meta":{"creatorSummary":"Morel et al.","parsedDate":"2023-11-26","numChildren":2},"data":{"key":"8DNJ7ZG6","version":2249,"itemType":"conferencePaper","title":"Legitimate Interest is the New Consent -- Large-Scale Measurement and Legal Compliance of IAB Europe TCF Paywalls","creators":[{"creatorType":"author","firstName":"Victor","lastName":"Morel"},{"creatorType":"author","firstName":"Cristiana","lastName":"Santos"},{"creatorType":"author","firstName":"Viktor","lastName":"Fredholm"},{"creatorType":"author","firstName":"Adam","lastName":"Thunberg"}],"abstractNote":"Cookie paywalls allow visitors of a website to access its content only after they make a choice between paying a fee or accept tracking. European Data Protection Authorities (DPAs) recently issued guidelines and decisions on paywalls lawfulness, but it is yet unknown whether websites comply with them. We study in this paper the prevalence of cookie paywalls on the top one million websites using an automatic crawler. We identify 431 cookie paywalls, all using the Transparency and Consent Framework (TCF). We then analyse the data these paywalls communicate through the TCF, and in particular, the legal grounds and the purposes used to collect personal data. We observe that cookie paywalls extensively rely on legitimate interest legal basis systematically conflated with consent. We also observe a lack of correlation between the presence of paywalls and legal decisions or guidelines by DPAs.","date":"2023-11-26","proceedingsTitle":"Proceedings of the 22nd Workshop on Privacy in the Electronic Society","conferenceName":"","place":"","publisher":"","volume":"","pages":"153-158","series":"","language":"en","DOI":"10.1145/3603216.3624966","ISBN":"","shortTitle":"","url":"http://arxiv.org/abs/2309.11625","accessDate":"2024-04-28T12:21:09Z","archive":"","archiveLocation":"","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:2309.11625 [cs]","tags":[{"tag":"Computer Science - Computers and Society","type":1}],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-28T12:21:09Z","dateModified":"2024-04-28T12:21:10Z"}}


key: 75NGLTXX
data:
  {"key":"75NGLTXX","version":2250,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/75NGLTXX","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/75NGLTXX","type":"text/html"}},"meta":{"creatorSummary":"Kretschmer et al.","parsedDate":"2021-11-30","numChildren":1},"data":{"key":"75NGLTXX","version":2250,"itemType":"journalArticle","title":"Cookie Banners and Privacy Policies: Measuring the Impact of the GDPR on the Web","creators":[{"creatorType":"author","firstName":"Michael","lastName":"Kretschmer"},{"creatorType":"author","firstName":"Jan","lastName":"Pennekamp"},{"creatorType":"author","firstName":"Klaus","lastName":"Wehrle"}],"abstractNote":"The General Data Protection Regulation (GDPR) is in effect since May of 2018. As one of the most comprehensive pieces of legislation concerning privacy, it sparked a lot of discussion on the effect it would have on users and providers of online services in particular, due to the large amount of personal data processed in this context. Almost three years later, we are interested in revisiting this question to summarize the impact this new regulation has had on actors in the World Wide Web. Using Scopus, we obtain a vast corpus of academic work to survey studies related to changes on websites since and around the time the GDPR went into force. Our findings show that the emphasis on privacy increased w.r.t. online services, but plenty potential for improvements remains. Although online services are on average more transparent regarding data processing practices in their public data policies, a majority of these policies still either lack information required by the GDPR (e.g., contact information for users to file privacy inquiries) or do not provide this information in a user-friendly form. Additionally, we summarize that online services more often provide means for their users to opt out of data processing, but regularly obstruct convenient access to such means through unnecessarily complex and sometimes illegitimate interface design. Our survey further details that this situation contradicts the preferences expressed by users both verbally and through their actions, and researchers have proposed multiple approaches to facilitate GDPR-conform data processing without negatively impacting the user experience. Thus, we compiled reoccurring points of criticism by privacy researchers and data protection authorities into a list of four guidelines for service providers to consider.","publicationTitle":"ACM Transactions on the Web","volume":"15","issue":"4","pages":"1-42","date":"2021-11-30","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"ACM Trans. Web","language":"en","DOI":"10.1145/3466722","ISSN":"1559-1131, 1559-114X","shortTitle":"Cookie Banners and Privacy Policies","url":"https://dl.acm.org/doi/10.1145/3466722","accessDate":"2024-04-28T12:23:16Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-28T12:23:16Z","dateModified":"2024-04-28T12:23:16Z"}}


key: 4W6U6AX4
data:
  {"key":"4W6U6AX4","version":2251,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/4W6U6AX4","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/4W6U6AX4","type":"text/html"}},"meta":{"creatorSummary":"Toth et al.","parsedDate":"2022","numChildren":1},"data":{"key":"4W6U6AX4","version":2251,"itemType":"journalArticle","title":"On dark patterns and manipulation of website publishers by CMPs","creators":[{"creatorType":"author","firstName":"Michael","lastName":"Toth"},{"creatorType":"author","firstName":"Nataliia","lastName":"Bielova"},{"creatorType":"author","firstName":"Vincent","lastName":"Roca"}],"abstractNote":"Web technologies and services widely rely on data collection via tracking users on websites. In the EU, the collection of such data requires user consent thanks to the ePrivacy Directive (ePD), and the General Data Protection Regulation (GDPR). To comply with these regulations and integrate consent collection into their websites, website publishers often rely on third-party contractors, called Consent Management Providers (CMPs), that provide consent pop-ups as a service. Since the GDPR came in force in May 2018, the presence of CMPs continuously increased. In our work, we systematically study the installation and conﬁguration process of consent pop-ups and their potential eﬀects on the decision making of the website publishers. We make an in-depth analysis of the conﬁguration process from ten services provided by ﬁve popular CMP companies and identify common unethical design choices employed. By analysing CMP services on an empty experimental website, we identify manipulation of website publishers towards subscription to the CMPs paid plans and then determine that default consent pop-ups often violate the law. We also show that conﬁguration options may lead to non-compliance, while tracking scanners oﬀered by CMPs manipulate publishers. Our ﬁndings demonstrate the importance of CMPs and design space oﬀered to website publishers, and we raise concerns around the privileged position of CMPs and their strategies inﬂuencing website publishers.","publicationTitle":"Proceedings on Privacy Enhancing Technologies","volume":"2022","issue":"3","pages":"478-497","date":"7/2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"PoPETs","language":"en","DOI":"10.56553/popets-2022-0082","ISSN":"2299-0984","shortTitle":"","url":"https://petsymposium.org/popets/2022/popets-2022-0082.php","accessDate":"2024-04-30T13:09:47Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"https://creativecommons.org/licenses/by-nc-nd/3.0/","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-30T13:09:47Z","dateModified":"2024-04-30T13:09:48Z"}}


key: L6NA7HGZ
data:
  {"key":"L6NA7HGZ","version":2252,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/L6NA7HGZ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/L6NA7HGZ","type":"text/html"}},"meta":{"creatorSummary":"Hils et al.","parsedDate":"2020-10-27","numChildren":1},"data":{"key":"L6NA7HGZ","version":2252,"itemType":"conferencePaper","title":"Measuring the Emergence of Consent Management on the Web","creators":[{"creatorType":"author","firstName":"Maximilian","lastName":"Hils"},{"creatorType":"author","firstName":"Daniel W.","lastName":"Woods"},{"creatorType":"author","firstName":"Rainer","lastName":"Böhme"}],"abstractNote":"Privacy laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have pushed internet firms processing personal data to obtain user consent. Uncertainty around sanctions for non-compliance led many websites to embed a Consent Management Provider (CMP), which collects users’ consent and shares it with third-party vendors and other websites. Our paper maps the formation of this ecosystem using longitudinal measurements. Primary and secondary data sources are used to measure each actor within the ecosystem. Using 161 million browser crawls, we estimate that CMP adoption doubled from June 2018 to June 2019 and then doubled again until June 2020. Sampling 4.2 million unique domains, we observe that CMP adoption is most prevalent among moderately popular websites (Tranco top 50-10k) but a long tail exists. Using APIs from the adtech industry, we quantify the purposes and lawful bases used to justify processing personal data. A controlled experiment on a public website provides novel insights into how the time-to-complete of two leading CMPs’ consent dialogues varies with the preferences expressed, showing how privacy aware users incur a significant time cost.","date":"2020-10-27","proceedingsTitle":"Proceedings of the ACM Internet Measurement Conference","conferenceName":"IMC '20: ACM Internet Measurement Conference","place":"Virtual Event USA","publisher":"ACM","volume":"","pages":"317-332","series":"","language":"en","DOI":"10.1145/3419394.3423647","ISBN":"978-1-4503-8138-3","shortTitle":"","url":"https://dl.acm.org/doi/10.1145/3419394.3423647","accessDate":"2024-04-30T13:09:18Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-30T13:09:18Z","dateModified":"2024-04-30T13:09:19Z"}}


key: KQVE4BL9
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key: 8XHPHWWS
data:
  {"key":"8XHPHWWS","version":2256,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/8XHPHWWS","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/8XHPHWWS","type":"text/html"}},"meta":{"creatorSummary":"Zard","parsedDate":"2024-02-09","numChildren":0},"data":{"key":"8XHPHWWS","version":2256,"itemType":"preprint","title":"Five Years of Illegitimacy of Surveillance Advertising","creators":[{"creatorType":"author","firstName":"Lex","lastName":"Zard"}],"abstractNote":"Surveillance advertising is one of the central business models in the digital markets, responsible for the emergence of digital platform providers, such as Alphabet and Meta, into technology giants. As it involves processing large amounts of personal data, it comes in direct tension with the right to personal data protection in the European Union. The surveillance advertising business model was one of the challenges that triggered data protection reform, resulting in the General Data Protection Regulation (GDPR). Within the first five years of the GDPR, a large part of the surveillance advertising industry proved illegitimate. For example, litigation of Meta’s surveillance advertising has found that in 2018-2023, the company engaged in surveillance advertising without appropriate legal basis under the GDPR. The same goes for surveillance advertising conducted in the open market, often called AdTech. In order to respond to the developing case law of the GDPR, the industry has now moved to a ‘Surveillance-or-Pay’ business model. This chapter finds such a model illegitimate in many cases, particularly for gatekeepers such as Meta. This conclusion also calls for urgent enforcement from the national data protection authorities and the European Data Protection Board to ensure the surveillance advertising industry does not continue illegitimately over the next five years of the GDPR.","genre":"","repository":"","archiveID":"","place":"","date":"2024-02-09","series":"","seriesNumber":"","DOI":"10.31235/osf.io/48kgu","citationKey":"","url":"https://osf.io/48kgu","accessDate":"2024-05-07T08:29:31Z","archive":"","archiveLocation":"","shortTitle":"","language":"","libraryCatalog":"SocArXiv","callNumber":"","rights":"https://creativecommons.org/licenses/by-nd/4.0/legalcode","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-05-07T08:29:31Z","dateModified":"2024-05-07T08:29:31Z"}}


key: FVW5IVNK
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key: IKXUS9G8
data:
  {"key":"IKXUS9G8","version":2257,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/IKXUS9G8","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/IKXUS9G8","type":"text/html"}},"meta":{"creatorSummary":"Prince et al.","parsedDate":"2024-01-15","numChildren":1},"data":{"key":"IKXUS9G8","version":2257,"itemType":"journalArticle","title":"Online privacy literacy and users' information privacy empowerment: the case of GDPR in Europe","creators":[{"creatorType":"author","firstName":"Christine","lastName":"Prince"},{"creatorType":"author","firstName":"Nessrine","lastName":"Omrani"},{"creatorType":"author","firstName":"Francesco","lastName":"Schiavone"}],"abstractNote":"Purpose – Research on online user privacy shows that empirical evidence on how privacy literacy relates to users’ information privacy empowerment is missing. To fill this gap, this paper investigated the respective influence of two primary dimensions of online privacy literacy – namely declarative and procedural knowledge – on online users’ information privacy empowerment.","publicationTitle":"Information Technology & People","volume":"37","issue":"8","pages":"1-24","date":"2024-01-15","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"ITP","language":"en","DOI":"10.1108/ITP-05-2023-0467","ISSN":"0959-3845","shortTitle":"Online privacy literacy and users' information privacy empowerment","url":"https://www.emerald.com/insight/content/doi/10.1108/ITP-05-2023-0467/full/html","accessDate":"2024-04-28T12:21:28Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"https://www.emerald.com/insight/site-policies","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-28T12:21:28Z","dateModified":"2024-04-28T12:21:28Z"}}


key: G32RUIK6
data:
  {"key":"G32RUIK6","version":2258,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/G32RUIK6","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/G32RUIK6","type":"text/html"}},"meta":{"creatorSummary":"Rasaii et al.","parsedDate":"2023-10-24","numChildren":2},"data":{"key":"G32RUIK6","version":2258,"itemType":"conferencePaper","title":"Thou Shalt Not Reject: Analyzing Accept-Or-Pay Cookie Banners on the Web","creators":[{"creatorType":"author","firstName":"Ali","lastName":"Rasaii"},{"creatorType":"author","firstName":"Devashish","lastName":"Gosain"},{"creatorType":"author","firstName":"Oliver","lastName":"Gasser"}],"abstractNote":"Privacy regulations have led to many websites showing cookie banners to their users. Usually, cookie banners present the user with the option to “accept” or “reject” cookies. Recently, a new form of paywall-like cookie banner has taken hold on the Web, giving users the option to either accept cookies (and consequently user tracking) or buy a paid subscription for a tracking-free website experience.","date":"2023-10-24","proceedingsTitle":"Proceedings of the 2023 ACM on Internet Measurement Conference","conferenceName":"","place":"","publisher":"","volume":"","pages":"154-161","series":"","language":"en","DOI":"10.1145/3618257.3624846","ISBN":"","shortTitle":"Thou Shalt Not Reject","url":"http://arxiv.org/abs/2310.01108","accessDate":"2024-04-30T13:07:51Z","archive":"","archiveLocation":"","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:2310.01108 [cs]","tags":[{"tag":"Computer Science - Networking and Internet Architecture","type":1}],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-30T13:07:51Z","dateModified":"2024-04-30T13:07:52Z"}}


key: BKL4N4LS
data:
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key: Y3J3KHRA
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key: PH5ZT2NU
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  {"key":"PH5ZT2NU","version":2263,"library":{"type":"user","id":8412161,"name":"dibenedetto.eric","links":{"alternate":{"href":"https://www.zotero.org/dibenedetto.eric","type":"text/html"}}},"links":{"self":{"href":"https://api.zotero.org/users/8412161/items/PH5ZT2NU","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/PH5ZT2NU","type":"text/html"}},"meta":{"creatorSummary":"Dewitte and Ausloos","parsedDate":"2024","numChildren":1},"data":{"key":"PH5ZT2NU","version":2263,"itemType":"journalArticle","title":"Chronicling GDPR Transparency Rights in Practice","creators":[{"creatorType":"author","firstName":"Pierre","lastName":"Dewitte"},{"creatorType":"author","firstName":"Jef","lastName":"Ausloos"}],"abstractNote":"Transparency provisions, and the right of access in particular, have been an integral part of data protection law since the seventies but received a much-needed refresh with the General Data Protection Regulation (GDPR). Throughout the last few years, judicial and administrative authorities have clarified the scope and modalities of access, and a number of empirical studies have shed light the right has (not) been complied with in different contexts. So far, that empirical work has remained relatively disparate and hard to compare.","publicationTitle":"","volume":"","issue":"","pages":"","date":"2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"en","DOI":"","ISSN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","deleted":1,"tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:53:28Z","dateModified":"2024-05-03T11:53:28Z"}}


