# syncCache

key: 6C528SLH
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key: VTVCHQZJ
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key: HVUCFFVH
data:
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key: 9Q3IEKK5
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key: 9RM8UFNP
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key: 3ZJFUYGR
data:
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key: 2H9YQTNS
data:
  {"key":"2H9YQTNS","version":2267,"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/2H9YQTNS","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/2H9YQTNS","type":"text/html"}},"meta":{"creatorSummary":"Custers and Vrabec","parsedDate":"2024","numChildren":1},"data":{"key":"2H9YQTNS","version":2267,"itemType":"journalArticle","title":"Tell me something new: data subject rights applied to inferred data and profiles","creators":[{"creatorType":"author","firstName":"Bart","lastName":"Custers"},{"creatorType":"author","firstName":"Helena","lastName":"Vrabec"}],"abstractNote":"The EU General Data Protection Regulation (GDPR) contains several data subject rights, but for many of these rights it is not entirely clear how they should work in practice, especially in digital environments. Most data subject rights apply to personal data obtained directly or indirectly from the data subject. This is often personal data that data subjects already are familiar with, i.e., things they already know about themselves. Unclear, however, is to what extent ascribed personal data, such as inferred data and categories or profiles in which data subjects are placed by data controllers, are within the scope of these rights. Such ascribed personal data often concerns novel information, generated by data controllers, and includes insights into how controllers view and assess them, which may have practical and legal impact on data subjects. Given these characteristics, the ascribed personal data may be much more interesting to data subjects, so it appears beneficial, from the policy perspective, to have this novel information included in the scope of data subject rights. If data subject rights do not apply to inferred data and profiles, invoking these rights is unlikely to be informative and provide meaningful information for data subjects, particularly in complex, digital environments. However, if data subject rights do apply to inferred data and profiles, the scope of these rights may be hard to delineate and they may quickly interfere with rights and freedoms of others, including trade secrets of data controllers and privacy rights of other data subjects. In this article, we investigate the implications of applying data subject rights to inferred data and profiles. For each data subject right in the GDPR, we assess which types of personal data could and perhaps should be in scope, based on grammatical and teleological legal analyses as well as practical considerations. While the area of data subject rights received significant academic attention in the past years, our article con­ tributes to the discussion by providing a systematic, holistic framework to consider the scope of the rights in relation to ascribed data.","publicationTitle":"Computer Law & Security Review","volume":"52","issue":"","pages":"105956","date":"04/2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Computer Law & Security Review","language":"en","DOI":"10.1016/j.clsr.2024.105956","ISSN":"02673649","shortTitle":"Tell me something new","url":"https://linkinghub.elsevier.com/retrieve/pii/S0267364924000232","accessDate":"2024-04-28T12:21:45Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-28T12:21:45Z","dateModified":"2024-04-28T12:21:46Z"}}


key: UF5685G4
data:
  {"key":"UF5685G4","version":2267,"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/UF5685G4","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/UF5685G4","type":"text/html"}},"meta":{"creatorSummary":"Custers and Vrabec","parsedDate":"2024","numChildren":1},"data":{"key":"UF5685G4","version":2267,"itemType":"journalArticle","title":"Tell me something new: data subject rights applied to inferred data and profiles","creators":[{"creatorType":"author","firstName":"Bart","lastName":"Custers"},{"creatorType":"author","firstName":"Helena","lastName":"Vrabec"}],"abstractNote":"The EU General Data Protection Regulation (GDPR) contains several data subject rights, but for many of these rights it is not entirely clear how they should work in practice, especially in digital environments. Most data subject rights apply to personal data obtained directly or indirectly from the data subject. This is often personal data that data subjects already are familiar with, i.e., things they already know about themselves. Unclear, however, is to what extent ascribed personal data, such as inferred data and categories or profiles in which data subjects are placed by data controllers, are within the scope of these rights. Such ascribed personal data often concerns novel information, generated by data controllers, and includes insights into how controllers view and assess them, which may have practical and legal impact on data subjects. Given these characteristics, the ascribed personal data may be much more interesting to data subjects, so it appears beneficial, from the policy perspective, to have this novel information included in the scope of data subject rights. If data subject rights do not apply to inferred data and profiles, invoking these rights is unlikely to be informative and provide meaningful information for data subjects, particularly in complex, digital environments. However, if data subject rights do apply to inferred data and profiles, the scope of these rights may be hard to delineate and they may quickly interfere with rights and freedoms of others, including trade secrets of data controllers and privacy rights of other data subjects. In this article, we investigate the implications of applying data subject rights to inferred data and profiles. For each data subject right in the GDPR, we assess which types of personal data could and perhaps should be in scope, based on grammatical and teleological legal analyses as well as practical considerations. While the area of data subject rights received significant academic attention in the past years, our article con­ tributes to the discussion by providing a systematic, holistic framework to consider the scope of the rights in relation to ascribed data.","publicationTitle":"Computer Law & Security Review","volume":"52","issue":"","pages":"105956","date":"04/2024","series":"","seriesTitle":"","seriesText":"","journalAbbreviation":"Computer Law & Security Review","language":"en","DOI":"10.1016/j.clsr.2024.105956","ISSN":"02673649","shortTitle":"Tell me something new","url":"https://linkinghub.elsevier.com/retrieve/pii/S0267364924000232","accessDate":"2024-05-03T11:52:49Z","archive":"","archiveLocation":"","libraryCatalog":"DOI.org (Crossref)","callNumber":"","rights":"","extra":"","deleted":1,"tags":[],"collections":[],"relations":{},"dateAdded":"2024-05-03T11:52:49Z","dateModified":"2024-05-03T11:52:49Z"}}


key: TDKNEZBY
data:
  {"key":"TDKNEZBY","version":2272,"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/TDKNEZBY","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/TDKNEZBY","type":"text/html"}},"meta":{"creatorSummary":"Koch et al.","parsedDate":"2023","numChildren":1},"data":{"key":"TDKNEZBY","version":2272,"itemType":"conferencePaper","title":"The OK Is Not Enough: A Large Scale Study of Consent Dialogs in Smartphone Applications","creators":[{"creatorType":"author","firstName":"Simon","lastName":"Koch"},{"creatorType":"author","firstName":"Benjamin","lastName":"Altpeter"},{"creatorType":"author","firstName":"Martin","lastName":"Johns"}],"abstractNote":"Mobile applications leaking personal information is a well established observation pre and post GDPR. The legal requirements for personal data collection in the context of tracking are specified by GDPR and the common understanding is, that tracking must be based on proper consent. Studies of the consent dialogs on websites revealed severe issues including dark patterns. However, the mobile space is currently underexplored with initial observations pointing towards a similar state of affairs. To address this research gap we analyze a subset of possible consent dialogs, namely privacy consent dialogs, in 3006 Android and 1773 iOS applications. We show that 22.3% of all apps have any form of dialog with only 11.9% giving the user some form of actionable choice, e.g., at least an accept button. However, this choice is limited as a large proportion of all such dialogs employ some form of dark pattern coercing the user to consent.","date":"08/2023","proceedingsTitle":"","conferenceName":"32nd USENIX Security Symposium","place":"Anaheim, CA, USA","publisher":"","volume":"","pages":"","series":"","language":"en","DOI":"","ISBN":"","shortTitle":"","url":"https://www.usenix.org/conference/usenixsecurity23","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-30T13:08:02Z","dateModified":"2024-05-07T12:18:18Z"}}


key: UVH4DMWB
data:
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key: PLUP6GMW
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  {"key":"PLUP6GMW","version":2280,"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/PLUP6GMW","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/PLUP6GMW","type":"text/html"}},"meta":{"creatorSummary":"Bouhoula et al.","parsedDate":"2024-08-14","numChildren":1},"data":{"key":"PLUP6GMW","version":2280,"itemType":"conferencePaper","title":"Automated Large-Scale Analysis of Cookie Notice Compliance","creators":[{"creatorType":"author","firstName":"Ahmed","lastName":"Bouhoula"},{"creatorType":"author","firstName":"Karel","lastName":"Kubicek"},{"creatorType":"author","firstName":"Amit","lastName":"Zac"},{"creatorType":"author","firstName":"Carlos","lastName":"Cotrini"},{"creatorType":"author","firstName":"David","lastName":"Basin"}],"abstractNote":"Privacy regulations such as the General Data Protection Regulation (GDPR) require websites to inform EU-based users about non-essential data collection and to request their consent to this practice. Previous studies have documented widespread violations of these regulations. However, these studies provide a limited view of the general compliance picture: they are either restricted to a subset of notice types, detect only simple violations using prescribed patterns, or analyze notices manually. Thus, they are restricted both in their scope and in their ability to analyze violations at scale. We present the first general, automated, large-scale analysis of cookie notice compliance. Our method interacts with cookie notices, e.g., by navigating through their settings. It observes declared processing purposes and available consent options using Natural Language Processing and compares them to the actual use of cookies. By virtue of the generality and scale of our analysis, we correct for the selection bias present in previous studies focusing on specific Consent Management Platforms (CMP). We also provide a more general view of the overall compliance picture using a set of 97k websites popular in the EU. We report, in particular, that 65.4% of websites offering a cookie rejection option likely collect user data despite explicit negative consent.","date":"14/08/2024","proceedingsTitle":"","conferenceName":"33st USENIX Security Symposium (USENIX Security 24)","place":"Philadelphia, USA","publisher":"","volume":"","pages":"","series":"","language":"en","DOI":"","ISBN":"","shortTitle":"","url":"","accessDate":"","archive":"","archiveLocation":"","libraryCatalog":"Zotero","callNumber":"","rights":"","extra":"","tags":[],"collections":["UYBD6DX4"],"relations":{},"dateAdded":"2024-04-18T16:03:07Z","dateModified":"2024-05-10T08:31:25Z"}}


key: X2Q836WY
data:
  {"key":"X2Q836WY","version":2281,"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/X2Q836WY","type":"application/json"},"alternate":{"href":"https://www.zotero.org/dibenedetto.eric/items/X2Q836WY","type":"text/html"}},"meta":{"creatorSummary":"Bouhoula et al.","numChildren":1},"data":{"key":"X2Q836WY","version":2281,"itemType":"journalArticle","title":"Automated Large-Scale Analysis of Cookie Notice Compliance","creators":[{"creatorType":"author","firstName":"Ahmed","lastName":"Bouhoula"},{"creatorType":"author","firstName":"Karel","lastName":"Kubicek"},{"creatorType":"author","firstName":"Amit","lastName":"Zac"},{"creatorType":"author","firstName":"Carlos","lastName":"Cotrini"},{"creatorType":"author","firstName":"David","lastName":"Basin"}],"abstractNote":"Privacy regulations such as the General Data Protection Regulation (GDPR) require websites to inform EU-based users about non-essential data collection and to request their consent to this practice. Previous studies have documented widespread violations of these regulations. However, these studies provide a limited view of the general compliance picture: they are either restricted to a subset of notice types, detect only simple violations using prescribed patterns, or analyze notices manually. Thus, they are restricted both in their scope and in their ability to analyze violations at scale. We present the first general, automated, large-scale analysis of cookie notice compliance. Our method interacts with cookie notices, e.g., by navigating through their settings. It observes declared processing purposes and available consent options using Natural Language Processing and compares them to the actual use of cookies. By virtue of the generality and scale of our analysis, we correct for the selection bias present in previous studies focusing on specific Consent Management Platforms (CMP). We also provide a more general view of the overall compliance picture using a set of 97k websites popular in the EU. We report, in particular, that 65.4% of websites offering a cookie rejection option likely collect user data despite explicit negative consent.","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":"2024-04-28T12:23:05Z","dateModified":"2024-04-28T12:23:05Z"}}


key: ZQ6PRP4B
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