Google Topics as a way out of the cookie dilemma?

• URL: http://arxiv.org/abs/2407.03846v1
• Date: Thu, 4 Jul 2024 11:28:29 GMT
• Title: Google Topics as a way out of the cookie dilemma?
• Authors: Marius Köppel, Jan-Philipp Muttach, Gerrit Hornung,
• Abstract summary: The paper discusses the legal requirements and implications of the processing of information and personal data for advertising purposes. It emphasises that obtaining explicit consent of individuals is necessary for setting cookies.
• Score: 0.9217021281095907
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The paper discusses the legal requirements and implications of the processing of information and personal data for advertising purposes, particularly in the light of the "Planet49" decision of the European Court of Justice (ECJ) and the "Cookie Consent II" decision by the German Federal Court (Bundesgerichtshof, BGH). It emphasises that obtaining explicit consent of individuals is necessary for setting cookies. The introduction of the German Telecommunication Telemedia Data Protection Act (Telekommunikation-Telemedien-Datenschutzgesetz, TTDSG) has replaced the relevant section of the German Telemedia Act (Telemediengesetz, TMG) and transpose the concept of informed consent for storing and accessing information on terminal equipment, aligning with Article 5(3) ePrivacy Directive. To meet these requirements, companies exploring alternatives to obtaining consent are developing technical mechanisms that rely on a legal basis. Google tested initially "Federated Learning of Cohorts" (FLoC) as part of their "Privacy Sandbox" strategy. This technology was significantly criticized, Google introduced a new project called "Google Topics", which aims to personalize advertising by categorizing users into interest groups, called topics. Implementation of this technology began in July 2023.

Related papers

• Privacy Policies and Consent Management Platforms: Growth and Users' Interactions over Time [4.356242302111725]
  Consent platforms (CMPs) have emerged as practical solutions to make it easier for website administrators to manage user consent. This paper presents a detailed analysis of the evolution of CMPs spanning nine years. We observe how even small changes in the design of Privacy Banners have a critical impact on the user's giving or denying their consent to data collection.
  arXiv  Detail & Related papers  (2024-02-28T13:36:27Z)
• SoK: The Gap Between Data Rights Ideals and Reality [46.14715472341707]
  Do rights-based privacy laws effectively empower individuals over their data? This paper scrutinizes these approaches by reviewing empirical studies, news articles, and blog posts.
  arXiv  Detail & Related papers  (2023-12-03T21:52:51Z)
• A Critical Take on Privacy in a Datafied Society [0.0]
  I analyze several facets of the lack of online privacy and idiosyncrasies exhibited by privacy advocates. I discuss of possible effects of datafication on human behavior, the prevalent market-oriented assumption at the base of online privacy, and some emerging adaptation strategies. A glimpse on the likely problematic future is provided with a discussion on privacy related aspects of EU, UK, and China's proposed generative AI policies.
  arXiv  Detail & Related papers  (2023-08-03T11:45:18Z)
• Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions [15.726163080180653]
  Right to be Forgotten (RTBF) was first established as the result of evolution of technology. Recent development of Large Language Models (LLMs) pose new challenges for compliance with RTBF. We show how to implement technical solutions for the RTBF, including use of differential privacy, machine unlearning, model editing, and guardrails.
  arXiv  Detail & Related papers  (2023-07-08T09:28:50Z)
• Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment [100.1798289103163]
  We present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP) Key points and high-level contents of the article were originated from the discussions from "Differential Privacy (DP): Challenges Towards the Next Frontier" This article aims to provide a reference point for the algorithmic and design decisions within the realm of privacy, highlighting important challenges and potential research directions.
  arXiv  Detail & Related papers  (2023-04-14T05:29:18Z)
• Priorities for more effective tech regulation [3.8073142980733]
  Report proposes a range of priorities for regulators, academia and the interested public in order to move beyond the status quo. Current legal practice will not be enough to meaningfully tame egregious data practices.
  arXiv  Detail & Related papers  (2023-02-27T16:53:05Z)
• ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension [48.529698533726496]
  We propose an end-to-end framework for conversational machine reading comprehension based on entailment reasoning T5 (ET5) Despite the lightweight of our proposed framework, experimental results show that the proposed ET5 achieves new state-of-the-art results on the ShARC leaderboard with the BLEU-4 score of 55.2.
  arXiv  Detail & Related papers  (2022-09-23T08:58:03Z)
• Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest [70.02478301291264]
  Social media platforms curate access to information and opportunities, and so play a critical role in shaping public discourse. Prior studies have used black-box methods to show that these algorithms can lead to biased or discriminatory outcomes. We propose a new method for platform-supported auditing that can meet the goals of the proposed legislation.
  arXiv  Detail & Related papers  (2022-07-18T17:32:35Z)
• Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset [46.156169284961045]
  We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material. First, we gather and make available the Pile of Law, a 256GB dataset of open-source English-language legal and administrative data. Second, we distill the legal norms that governments have developed to constrain the inclusion of toxic or private content into actionable lessons. Third, we show how the Pile of Law offers researchers the opportunity to learn such filtering rules directly from the data.
  arXiv  Detail & Related papers  (2022-07-01T06:25:15Z)
• A vision for global privacy bridges: Technical and legal measures for international data markets [77.34726150561087]
  Despite data protection laws and an acknowledged right to privacy, trading personal information has become a business equated with "trading oil" An open conflict is arising between business demands for data and a desire for privacy. We propose and test a vision of a personal information market with privacy.
  arXiv  Detail & Related papers  (2020-05-13T13:55:50Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.