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key: ECKTX3RR
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key: 7NDNZWQR
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key: DINVTQTE
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key: ARGW56EM
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key: R753PJWU
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key: J8NBAGSV
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key: DTKIHW3X
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key: YRMSHAXP
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key: UH2RED2Y
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key: LGLBTBLC
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key: Y8GMVTQT
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key: HMBJAIHF
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key: JJYQTGB3
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key: KQAU774M
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key: ZKBVV9ER
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key: 3WAUXQDM
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key: YK7ARA8E
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key: Q6VF3GV9
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key: DVNWEXKF
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key: 9G572C7F
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key: CLFJL6IA
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key: PY6Q6J6B
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key: AKZA3B9P
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key: 6BVVQ9D4
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key: PVDDVUB7
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key: EG7FZAV7
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key: 6Y6GP24U
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key: ACZDWBHZ
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key: F75927E8
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key: PWHVFQ7P
data:
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key: F5CAIBZ9
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key: L4M4J2TL
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key: SN8NAS77
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key: MLKU6CSR
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key: RIB75Z9Z
data:
  {"key":"RIB75Z9Z","version":1755,"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/RIB75Z9Z","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/RIB75Z9Z","type":"text/html"}},"meta":{"creatorSummary":"Alashoor et al.","parsedDate":"2017","numChildren":0},"data":{"key":"RIB75Z9Z","version":1755,"itemType":"journalArticle","title":"Familiarity with Big Data, Privacy Concerns, and Self-Disclosure Accuracy in Social Networking Websites: An APCO Model","creators":[{"creatorType":"author","firstName":"Tawfiq","lastName":"Alashoor"},{"creatorType":"author","firstName":"Sehee","lastName":"Han"},{"creatorType":"author","firstName":"Rhoda C.","lastName":"Joseph"}],"abstractNote":"Social networking websites have not only become the most prevalent communication tools in today’s digital age but also one of the top big data sources. Big data advocates promote the promising benefits of big data applications to both users and practitioners. However, public polls show evidence of heightened privacy concerns among Internet and social media users. We review the privacy literature based on protection motivation theory and the theory of planned behavior to develop an APCO model that incorporates novel factors that reflect users’ familiarity with big data. Our results, which we obtained from using a cross-sectional survey design and structural equation modeling (SEM) techniques, support most of our proposed hypotheses. Specifically, we found that that awareness of big data had a negative impact on and awareness of big data implications had a positive impact on privacy concerns. In turn, privacy concerns impacted self-disclosure concerns positively and self-disclosure accuracy negatively. We also considered other antecedents of privacy concerns and tested other alternative models to examine the mediating role of privacy concerns, to control for demographic variables, and to investigate different roles of the trust construct. Finally, we discuss the results of our findings and the theoretical and practical implications.","publicationTitle":"Communications of the Association for Information Systems","volume":"41","issue":"","pages":"62-96","date":"2017","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"CAIS","language":"en","DOI":"10.17705/1CAIS.04104","ISSN":"15293181","shortTitle":"Familiarity with Big Data, Privacy Concerns, and Self-Disclosure Accuracy in Social Networking Websites","url":"http://aisel.aisnet.org/cais/vol41/iss1/4/","accessDate":"2024-04-05T08:26:40Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["N4HV82PL"],"relations":{},"dateAdded":"2024-04-05T08:26:40Z","dateModified":"2024-04-05T08:26:42Z"}}


key: SDZEUIZK
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key: D7E4DVZC
data:
  {"key":"D7E4DVZC","version":1757,"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/D7E4DVZC","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/D7E4DVZC","type":"text/html"}},"meta":{"creatorSummary":"Li","parsedDate":"2011","numChildren":0},"data":{"key":"D7E4DVZC","version":1757,"itemType":"journalArticle","title":"Empirical Studies on Online Information Privacy Concerns: Literature Review and an Integrative Framework","creators":[{"creatorType":"author","firstName":"Yuan","lastName":"Li"}],"abstractNote":"In the e-commerce environment, individuals‘ concerns for online information privacy play critical roles in determining their intention to use the Internet to provide personal information for services and transactions. Understanding this relationship has important implications for e-commerce. Despite much research in this area, an overarching picture of the relationship between information privacy concerns and the antecedent and consequence factors is yet to be drawn. Based on a review on empirical studies in this area, this research summarizes the conceptualizations of privacy concerns and the antecedents and consequences. An integrative framework is developed to illustrate the relationships between the factors. In this framework, a person‘s concern for information privacy regarding a specific e-commerce website is distinguished from his/her concern for information privacy regarding the general e-commerce environment. These two forms of privacy concerns have distinct impacts on a person‘s online behavior. Their relationships with multiple antecedent and consequence factors are analyzed.","publicationTitle":"Communications of the Association for Information Systems","volume":"28","issue":"","pages":"","date":"2011","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"CAIS","language":"en","DOI":"10.17705/1CAIS.02828","ISSN":"15293181","shortTitle":"Empirical Studies on Online Information Privacy Concerns","url":"https://aisel.aisnet.org/cais/vol28/iss1/28","accessDate":"2024-04-05T09:46:27Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["N4HV82PL"],"relations":{},"dateAdded":"2024-04-05T09:46:27Z","dateModified":"2024-04-05T09:46:28Z"}}


key: CHMYMSWL
data:
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key: Z72Q45ZK
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key: 6DRW6DYJ
data:
  {"key":"6DRW6DYJ","version":1767,"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/6DRW6DYJ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/6DRW6DYJ","type":"text/html"}},"meta":{"creatorSummary":"Goldfarb and Tucker","parsedDate":"2011","numChildren":0},"data":{"key":"6DRW6DYJ","version":1767,"itemType":"journalArticle","title":"Privacy Regulation and Online Advertising","creators":[{"creatorType":"author","firstName":"Avi","lastName":"Goldfarb"},{"creatorType":"author","firstName":"Catherine E.","lastName":"Tucker"}],"abstractNote":"Advertisers use online customer data to target their marketing appeals. This has heightened consumers' privacy concerns, leading governments to pass laws designed to protect consumer privacy by restricting the use of data and by restricting online tracking techniques used by websites. We use the responses of 3.3 million survey takers who had been randomly exposed to 9,596 online display (banner) advertising campaigns to explore how privacy regulation in the European Union (EU) has influenced advertising effectiveness. This privacy regulation restricted advertisers' ability to collect data on Web users in order to target ad campaigns. We find that, on average, display advertising became far less effective at changing stated purchase intent after the EU laws were enacted, relative to display advertising in other countries. The loss in effectiveness was more pronounced for websites that had general content (such as news sites), where non-data-driven targeting is particularly hard to do. The loss of effectiveness was also more pronounced for ads with a smaller presence on the webpage and for ads that did not have additional interactive, video, or audio features.\n            This paper was accepted by Pradeep Chintagunta, marketing.","publicationTitle":"Management Science","volume":"57","issue":"1","pages":"57-71","date":"01/2011","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Management Science","language":"en","DOI":"10.1287/mnsc.1100.1246","ISSN":"0025-1909, 1526-5501","shortTitle":"","url":"https://pubsonline.informs.org/doi/10.1287/mnsc.1100.1246","accessDate":"2024-04-05T11:58:47Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["N4HV82PL"],"relations":{},"dateAdded":"2024-04-05T11:58:47Z","dateModified":"2024-04-05T11:58:47Z"}}


key: EK9GGNGU
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key: DAYX6MTE
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key: HSI879WX
data:
  {"key":"HSI879WX","version":1772,"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/HSI879WX","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/HSI879WX","type":"text/html"}},"meta":{"creatorSummary":"Xu et al.","parsedDate":"2009","numChildren":1},"data":{"key":"HSI879WX","version":1772,"itemType":"journalArticle","title":"The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services","creators":[{"creatorType":"author","firstName":"Heng","lastName":"Xu"},{"creatorType":"author","firstName":"Hock-Hai","lastName":"Teo"},{"creatorType":"author","firstName":"Bernard C. Y.","lastName":"Tan"},{"creatorType":"author","firstName":"Ritu","lastName":"Agarwal"}],"abstractNote":"Location-based services (LBS) use positioning technologies to provide individual users with reachability and accessibility that would otherwise not be available in the conventional commercial realm. While LBS confer greater connectivity and personalization on consumers, they also threaten users’ information privacy through granular tracking of their preferences, behaviors, and identity. To address privacy concerns in the LBS context, this study extends the privacy calculus model to explore the role of information delivery mechanisms (pull and push) in the efficacy of three privacy intervention approaches (compensation, industry self-regulation, and government regulation) in influencing individual privacy decision making. The research model was tested using data gathered from 528 respondents through a quasi-experimental survey method. Structural equations modeling using partial least squares validated the instrument and the proposed model. Results suggest that the effects of the three privacy intervention approaches on an individual’s privacy calculus vary based on the type of information delivery mechanism (pull and push). Results suggest that providing financial compensation for push-based LBS is more important than it is for pull-based LBS. Moreover, this study shows that privacy advocates and government legislators should not treat all types of LBS as undifferentiated but could instead specifically target certain types of services.","publicationTitle":"Journal of Management Information Systems","volume":"26","issue":"3","pages":"135-174","date":"12/2009","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Journal of Management Information Systems","language":"en","DOI":"10.2753/mis0742-1222260305","ISSN":"0742-1222, 1557-928X","shortTitle":"The Role of Push-Pull Technology in Privacy Calculus","url":"https://www.tandfonline.com/doi/full/10.2753/MIS0742-1222260305","accessDate":"2024-04-04T09:24:00Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["N4HV82PL"],"relations":{},"dateAdded":"2024-04-04T09:24:00Z","dateModified":"2024-04-06T12:42:04Z"}}


key: RV98MXG9
data:
  {"key":"RV98MXG9","version":1777,"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/RV98MXG9","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/RV98MXG9","type":"text/html"}},"meta":{"creatorSummary":"Lwin et al.","parsedDate":"2007-11-15","numChildren":0},"data":{"key":"RV98MXG9","version":1777,"itemType":"journalArticle","title":"Consumer online privacy concerns and responses: a power–responsibility equilibrium perspective","creators":[{"creatorType":"author","firstName":"May","lastName":"Lwin"},{"creatorType":"author","firstName":"Jochen","lastName":"Wirtz"},{"creatorType":"author","firstName":"Jerome D.","lastName":"Williams"}],"abstractNote":"We use the Power–Responsibility Equilibrium (PRE) framework and advance that consumers balance perceived deficits in privacy protection by power holders (businesses and regulators) with defensive actions. In our model, consumer privacy concern is the endogenous mediating entity linking business policy and regulatory perceptions to negative online user responses. The model was empirically tested and confirmed in an experimental setting. In a second study, we added the nature of consumer information involved into a sub-model. Here, we investigated the moderating role of information sensitivity and congruency on the business policy–concern relationship across three industry contexts. Both hypothesized two-way interactions were confirmed, suggesting that a strong business policy is effective in reducing concern when low sensitivity data are gathered, but insufficient in reducing concern for highly sensitive data. Furthermore, concern increased dramatically when sensitive data were collected that were incongruent with the business context.","publicationTitle":"Journal of the Academy of Marketing Science","volume":"35","issue":"4","pages":"572-585","date":"2007-11-15","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"J. of the Acad. Mark. Sci.","language":"en","DOI":"10.1007/s11747-006-0003-3","ISSN":"0092-0703, 1552-7824","shortTitle":"Consumer online privacy concerns and responses","url":"http://link.springer.com/10.1007/s11747-006-0003-3","accessDate":"2024-04-13T13:25:26Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"http://www.springer.com/tdm","extra":"","tags":[],"collections":["N4HV82PL"],"relations":{},"dateAdded":"2024-04-13T13:25:26Z","dateModified":"2024-04-13T13:25:30Z"}}


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key: RWYPHYKH
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key: 9EFYWIB9
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key: 2L6UN6FH
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key: 739K37CL
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key: 7ZY46SXM
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key: 3I8N7DTL
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key: ECKMRIGF
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key: VAGQ4ZHU
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key: L3SXZD6J
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key: DCM5FLIZ
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key: XKFLJ7LA
data:
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key: NC47QI2Z
data:
  {"key":"NC47QI2Z","version":1895,"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/NC47QI2Z","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NC47QI2Z","type":"text/html"}},"meta":{"creatorSummary":"Schepman and Rodway","parsedDate":"2020","numChildren":1},"data":{"key":"NC47QI2Z","version":1895,"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":"2024-04-18T16:03:12Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-18T16:03:12Z","dateModified":"2024-04-18T16:03:13Z"}}


key: UA6LHWYU
data:
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key: VLA65XL4
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  {"key":"VLA65XL4","version":1895,"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/VLA65XL4","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/VLA65XL4","type":"text/html"}},"meta":{"creatorSummary":"Araujo et al.","parsedDate":"2020","numChildren":1},"data":{"key":"VLA65XL4","version":1895,"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":"2024-04-18T16:03:20Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-18T16:03:20Z","dateModified":"2024-04-18T16:03:22Z"}}


key: T5W9GQ2U
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key: LQYGJ6MP
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key: 8DU4YFU4
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key: 7J9FBCJR
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key: LDRZJ72S
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key: FRPI4USH
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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":"2024-04-30T12:29:46Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-30T12:29:46Z","dateModified":"2024-04-30T12:29:48Z"}}


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key: 2BN94VAE
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key: HY7EZYWT
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key: TKELAR5F
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  {"key":"TKELAR5F","version":1999,"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/TKELAR5F","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/TKELAR5F","type":"text/html"}},"meta":{"creatorSummary":"Faifr and Januška","parsedDate":"2021-08-27","numChildren":0},"data":{"key":"TKELAR5F","version":1999,"itemType":"journalArticle","title":"FACTORS DETERMINING THE EXTENT OF GDPR IMPLEMENTATION WITHIN ORGANIZATIONS: EMPIRICAL EVIDENCE FROM CZECH REPUBLIC","creators":[{"creatorType":"author","firstName":"Adam","lastName":"Faifr"},{"creatorType":"author","firstName":"Martin","lastName":"Januška"}],"abstractNote":"In this paper, the key factors that affect the extent of GDPR implementation in enterprises are analysed. Since 2018, all organizations operating in the European Union or processing personal data of EU citizens have had to incorporate a new regulation in their work. After three years of experience, possible key factors that significantly affect the cost of the entire project have been theoretically identified. However, a research gap remains whether the factors thus defined actually have a real impact on the implementation within organizations. Therefore, this study focuses on an empirical investigation of those characteristics using quantitative approach combining Chi-squared tests and the Classification and Regression Tree method. Based on a survey of organizations in the Czech Republic, this paper outlines that the size of the organization, the typology of personal data processed and the way GDPR is implemented determine the scope of the implementation project within organizations. On the other hand, there is no clear evidence that there is significant role in whether it is a public or private organization.","publicationTitle":"Journal of Business Economics and Management","volume":"22","issue":"5","pages":"1124-1141","date":"2021-08-27","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"","language":"","DOI":"10.3846/jbem.2021.15095","ISSN":"1611-1699, 2029-4433","shortTitle":"FACTORS DETERMINING THE EXTENT OF GDPR IMPLEMENTATION WITHIN ORGANIZATIONS","url":"https://journals.vilniustech.lt/index.php/JBEM/article/view/15095","accessDate":"2024-04-30T13:07:02Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-30T13:07:02Z","dateModified":"2024-04-30T13:07:02Z"}}


key: 2SKYAWIG
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key: UBKGVXUE
data:
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key: KADLPUEN
data:
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key: C8N5IKMN
data:
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key: ZVM4J9LH
data:
  {"key":"ZVM4J9LH","version":2009,"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/ZVM4J9LH","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/ZVM4J9LH","type":"text/html"}},"meta":{"creatorSummary":"Kaplan and Haenlein","parsedDate":"2019","numChildren":0},"data":{"key":"ZVM4J9LH","version":2009,"itemType":"journalArticle","title":"Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence","creators":[{"creatorType":"author","firstName":"Andreas","lastName":"Kaplan"},{"creatorType":"author","firstName":"Michael","lastName":"Haenlein"}],"abstractNote":"Artiﬁcial intelligence (AI)–—deﬁned as a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve speciﬁc goals and tasks through ﬂexible adaptation–—is a topic in nearly every boardroom and at many dinner tables. Yet, despite this prominence, AI is still a surprisingly fuzzy concept and a lot of questions surrounding it are still open. In this article, we analyze how AI is different from related concepts, such as the Internet of Things and big data, and suggest that AI is not one monolithic term but instead needs to be seen in a more nuanced way. This can either be achieved by looking at AI through the lens of evolutionary stages (artiﬁcial narrow intelligence, artiﬁcial general intelligence, and artiﬁcial super intelligence) or by focusing on different types of AI systems (analytical AI, human-inspired AI, and humanized AI). Based on this classiﬁcation, we show the potential and risk of AI using a series of case studies regarding universities, corporations, and governments. Finally, we present a framework that helps organizations think about the internal and external implications of AI, which we label the Three C Model of Conﬁdence, Change, and Control.","publicationTitle":"Business Horizons","volume":"62","issue":"1","pages":"15-25","date":"01/2019","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Business Horizons","language":"en","DOI":"10.1016/j.bushor.2018.08.004","ISSN":"00076813","shortTitle":"Siri, Siri, in my hand","url":"https://linkinghub.elsevier.com/retrieve/pii/S0007681318301393","accessDate":"2024-04-30T13:08:20Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-30T13:08:20Z","dateModified":"2024-04-30T13:08:21Z"}}


key: JP8UNZG7
data:
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key: ERNWQFSS
data:
  {"key":"ERNWQFSS","version":2010,"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/ERNWQFSS","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/ERNWQFSS","type":"text/html"},"up":{"href":"https://api.zotero.org/users/8412161/items/SY93RMEA","type":"application/json"}},"meta":{"numChildren":0},"data":{"key":"ERNWQFSS","version":2010,"parentItem":"SY93RMEA","itemType":"attachment","linkMode":"imported_file","title":"Demir et al. - 2024 - A Large-Scale Study of Cookie Banner Interaction T.pdf","accessDate":"","url":"","note":"","contentType":"application/pdf","charset":"","filename":"Demir et al. - 2024 - A Large-Scale Study of Cookie Banner Interaction T.pdf","md5":null,"mtime":null,"tags":[],"relations":{},"dateAdded":"2024-04-30T13:08:27Z","dateModified":"2024-04-30T13:08:42Z"}}


key: ZE9K7WHX
data:
  {"key":"ZE9K7WHX","version":2012,"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/ZE9K7WHX","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/ZE9K7WHX","type":"text/html"}},"meta":{"creatorSummary":"Matte et al.","parsedDate":"2020-02-21","numChildren":0},"data":{"key":"ZE9K7WHX","version":2012,"itemType":"preprint","title":"Do Cookie Banners Respect my Choice? Measuring Legal Compliance of Banners from IAB Europe's Transparency and Consent Framework","creators":[{"creatorType":"author","firstName":"Célestin","lastName":"Matte"},{"creatorType":"author","firstName":"Nataliia","lastName":"Bielova"},{"creatorType":"author","firstName":"Cristiana","lastName":"Santos"}],"abstractNote":"As a result of the GDPR and the ePrivacy Directive, European users encounter cookie banners on almost every website. Many of such banners are implemented by Consent Management Providers (CMPs), who respect IAB Europe’s Transparency and Consent Framework (TCF). Via cookie banners, CMPs collect and disseminate user consent to third parties. In this work, we systematically study IAB Europe’s TCF and analyze consent stored behind the user interface of TCF cookie banners. We analyze the GDPR and the ePrivacy Directive to identify potential legal violations in implementations of cookie banners based on the storage of consent and detect such suspected violations by crawling 1 426 websites that contains TCF banners, found among 28 257 crawled European websites. With two automatic and semi-automatic crawl campaigns, we detect suspected violations, and we ﬁnd that: 141 websites register positive consent even if the user has not made their choice; 236 websites nudge the users towards accepting consent by pre-selecting options; and 27 websites store a positive consent even if the user has explicitly opted out. Performing extensive tests on 560 websites, we ﬁnd at least one suspected violation in 54% of them. Finally, we provide a browser extension to facilitate manual detection of suspected violations for regular users and Data Protection Authorities.","genre":"","repository":"arXiv","archiveID":"arXiv:1911.09964","place":"","date":"2020-02-21","series":"","seriesNumber":"","DOI":"","citationKey":"","url":"http://arxiv.org/abs/1911.09964","accessDate":"2024-04-30T13:09:01Z","archive":"","archiveLocation":"","shortTitle":"Do Cookie Banners Respect my Choice?","language":"en","libraryCatalog":"arXiv.org","callNumber":"","rights":"","extra":"arXiv:1911.09964 [cs]","tags":[{"tag":"Computer Science - Cryptography and Security","type":1}],"collections":[],"relations":{},"dateAdded":"2024-04-30T13:09:01Z","dateModified":"2024-04-30T13:09:02Z"}}


key: WMRETYJN
data:
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key: NIMFG8DU
data:
  {"key":"NIMFG8DU","version":2012,"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/NIMFG8DU","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/NIMFG8DU","type":"text/html"},"up":{"href":"https://api.zotero.org/users/8412161/items/L6NA7HGZ","type":"application/json"}},"meta":{"numChildren":0},"data":{"key":"NIMFG8DU","version":2012,"parentItem":"L6NA7HGZ","itemType":"attachment","linkMode":"imported_file","title":"Hils et al. - 2020 - Measuring the Emergence of Consent Management on t.pdf","accessDate":"","url":"","note":"","contentType":"application/pdf","charset":"","filename":"Hils et al. - 2020 - Measuring the Emergence of Consent Management on t.pdf","md5":null,"mtime":null,"tags":[],"relations":{},"dateAdded":"2024-04-30T13:09:07Z","dateModified":"2024-04-30T13:09:20Z"}}


key: FQN99A3V
data:
  {"key":"FQN99A3V","version":2014,"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/FQN99A3V","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/FQN99A3V","type":"text/html"},"up":{"href":"https://api.zotero.org/users/8412161/items/ZQ6PRP4B","type":"application/json"}},"meta":{"numChildren":0},"data":{"key":"FQN99A3V","version":2014,"parentItem":"ZQ6PRP4B","itemType":"attachment","linkMode":"imported_file","title":"Bollinger et al. - Automating Cookie Consent and GDPR Violation Detec.pdf","accessDate":"","url":"","note":"","contentType":"application/pdf","charset":"","filename":"Bollinger et al. - Automating Cookie Consent and GDPR Violation Detec.pdf","md5":null,"mtime":null,"tags":[],"relations":{},"dateAdded":"2024-04-30T13:09:25Z","dateModified":"2024-04-30T13:09:30Z"}}


key: 2VSKN4SJ
data:
  {"key":"2VSKN4SJ","version":2016,"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/2VSKN4SJ","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/2VSKN4SJ","type":"text/html"},"up":{"href":"https://api.zotero.org/users/8412161/items/4W6U6AX4","type":"application/json"}},"meta":{"numChildren":0},"data":{"key":"2VSKN4SJ","version":2016,"parentItem":"4W6U6AX4","itemType":"attachment","linkMode":"imported_file","title":"Toth et al. - 2022 - On dark patterns and manipulation of website publi.pdf","accessDate":"","url":"","note":"","contentType":"application/pdf","charset":"","filename":"Toth et al. - 2022 - On dark patterns and manipulation of website publi.pdf","md5":null,"mtime":null,"tags":[],"relations":{},"dateAdded":"2024-04-30T13:09:39Z","dateModified":"2024-04-30T13:09:48Z"}}


key: YPQKY364
data:
  {"key":"YPQKY364","version":2020,"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/YPQKY364","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/YPQKY364","type":"text/html"}},"meta":{"creatorSummary":"Lefrere et al.","parsedDate":"2022","numChildren":0},"data":{"key":"YPQKY364","version":2020,"itemType":"journalArticle","title":"Does Privacy Regulation Harm Content Providers? A Longitudinal Analysis of the Impact of the GDPR","creators":[{"creatorType":"author","firstName":"Vincent","lastName":"Lefrere"},{"creatorType":"author","firstName":"Logan","lastName":"Warberg"},{"creatorType":"author","firstName":"Cristobal","lastName":"Cheyre"},{"creatorType":"author","firstName":"Veronica","lastName":"Marotta"},{"creatorType":"author","firstName":"Alessandro","lastName":"Acquisti"}],"abstractNote":"While the European General Data Protection Regulation (GDPR) has received signiﬁcant attention in the information systems literature, concerns that it would adversely aﬀect websites’ ability to provide quality content to their visitors have not been thoroughly investigated. We construct a longitudinal data-set of news and media websites to study how online content providers adapted their responses to the GDPR over time, and whether restrictions on online tracking enforced by the regulation aﬀected downstream outcomes such as the quantity of content those websites oﬀer to their visitors and visitors’ engagement with such content. We ﬁnd robust evidence of websites’ reactions to the GDPR in both the US and the EU, including an initial reduction in the number of third-party cookies and intensity of visitor tracking. However, reactions diﬀer between US and EU websites, and several months after the enactment of the regulation the initial reduction in tracking is reversed, as tracking among EU websites bounces back. We use diﬀerence-in-diﬀerences, LATE, and look-ahead matching models to assess downstream eﬀects of the regulation, capturing both ecosystem eﬀects and website-level eﬀects. We ﬁnd a small reduction in average page views per visitor on EU websites relative to US websites near the end of the period of observation, but no statistically signiﬁcant impact of the regulation on EU websites’ provision of new content, social media engagement with new content, and ranking in both the short-term and the long-term. We also ﬁnd no evidence of diﬀerences in survival rates across EU and US content providers, and no evidence that monetization strategies change at a higher rate for EU websites relative to US websites. While industry predictions forebode dire consequences arising from the GDPR for content providers, we ﬁnd that websites that responded more strongly to the GDPR were those less likely to be aﬀected by such a response; in contrast, websites that relied in great part on EU visitors found, over time, ways to avoid being negatively aﬀected by the regulation.","publicationTitle":"SSRN Electronic Journal","volume":"","issue":"","pages":"","date":"2022","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"SSRN Journal","language":"en","DOI":"10.2139/ssrn.4239013","ISSN":"1556-5068","shortTitle":"Does Privacy Regulation Harm Content Providers?","url":"https://www.ssrn.com/abstract=4239013","accessDate":"2024-04-30T16:59:06Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":[],"relations":{},"dateAdded":"2024-04-30T16:59:06Z","dateModified":"2024-04-30T16:59:06Z"}}


key: 644GFUAA
data:
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key: RHJNMI5X
data:
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key: RAMF4E44
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key: GZHUHMIN
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key: 8TCZNBWE
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