(Un)informed Consent: Studying GDPR Consent Notices in the Field
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Abstract (arXiv)
Since the adoption of the General Data Protection Regulation (GDPR) in May 2018 more than 60 % of popular websites in Europe display cookie consent notices to their visitors. This has quickly led to users becoming fatigued with privacy notifications and contributed to the rise of both browser extensions that block these banners and demands for a solution that bundles consent across multiple websites or in the browser. In this work, we identify common properties of the graphical user interface of consent notices and conduct three experiments with more than 80,000 unique users on a German website to investigate the influence of notice position, type of choice, and content framing on consent. We find that users are more likely to interact with a notice shown in the lower (left) part of the screen. Given a binary choice, more users are willing to accept tracking compared to mechanisms that require them to allow cookie use for each category or company individually. We also show that the wide-spread practice of nudging has a large effect on the choices users make. Our experiments show that seemingly small implementation decisions can substantially impact whether and how people interact with consent notices. Our findings demonstrate the importance for regulation to not just require consent, but also provide clear requirements or guidance for how this consent has to be obtained in order to ensure that users can make free and informed choices.
Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Sep 2019.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 4; 2024: 3; 2025: 5; 2026: 6.
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- 2024Stereotype or Personalization? User Identity Biases Chatbot Recommendationscited by 33
- 2023FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clientscited by 23
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responsescited by 15
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversightcited by 15
- 2024Trustworthy Distributed AI Systems: Robustness, Privacy, and Governancecited by 12
- 2023AidUI: Toward Automated Recognition of Dark Patterns in User Interfacescited by 9
- 2023FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusioncited by 8
- 2021AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Riskscited by 6
- 2022Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyondcited by 4
- 2025Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacycited by 4
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorizationcited by 4
- 2021A Decentralized Approach towards Responsible AI in Social Ecosystemscited by 3
11 more
- 2022Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other waycited by 3
- 2025Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agencycited by 3
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?cited by 3
- 2025Algorithmic Collective Action with Multiple Collectivescited by 2
- 2022NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Languagecited by 0
- 2023Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Reviewcited by 0
- 2025Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPRcited by 0
- 2026From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Managementcited by 0
- 2026On the Suitability of LLM-Driven Agents for Dark Pattern Auditscited by 0
- 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectivescited by 0
- 2026SoK: From Generation to Consumption of Privacy Documents in Software Systemscited by 0
- 2026SoK: From Generation to Consumption of Privacy Documents in Software Systems12 Aug 2026
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization12 May 2026
- 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives7 May 2026
- 2026On the Suitability of LLM-Driven Agents for Dark Pattern Audits4 Mar 2026
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?6 Feb 2026
- 2026From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management4 Feb 2026
- 2025Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR30 Oct 2025
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight12 Sep 2025
- 2025Algorithmic Collective Action with Multiple Collectives26 Aug 2025
- 2025Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency8 Jun 2025
- 2025Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy9 May 2025
- 2024Stereotype or Personalization? User Identity Biases Chatbot Recommendations8 Oct 2024
11 more
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses7 Jun 2024
- 2024Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance2 Feb 2024
- 2023FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients16 Nov 2023
- 2023FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion16 Nov 2023
- 2023Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review25 Oct 2023
- 2023AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces12 Mar 2023
- 2022Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond9 Dec 2022
- 2022NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language29 Aug 2022
- 2022Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other way21 Apr 2022
- 2021A Decentralized Approach towards Responsible AI in Social Ecosystems12 Feb 2021
- 2021AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks4 Feb 2021
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversightcited by 15
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorizationcited by 4
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?cited by 3
- 2026On the Suitability of LLM-Driven Agents for Dark Pattern Auditscited by 0
- 2026Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization12 May 2026
- 2026On the Suitability of LLM-Driven Agents for Dark Pattern Audits4 Mar 2026
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?6 Feb 2026
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight12 Sep 2025
- 2024Stereotype or Personalization? User Identity Biases Chatbot Recommendationscited by 33
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responsescited by 15
- 2024Trustworthy Distributed AI Systems: Robustness, Privacy, and Governancecited by 12
- 2023AidUI: Toward Automated Recognition of Dark Patterns in User Interfacescited by 9
- 2023FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusioncited by 8
- 2021AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Riskscited by 6
- 2022Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyondcited by 4
- 2025Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacycited by 4
- 2021A Decentralized Approach towards Responsible AI in Social Ecosystemscited by 3
- 2022Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other waycited by 3
- 2025Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agencycited by 3
- 2025Algorithmic Collective Action with Multiple Collectivescited by 2
12 most cited of 18 All 18 (JSON)
- 2026SoK: From Generation to Consumption of Privacy Documents in Software Systems12 Aug 2026
- 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives7 May 2026
- 2026From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management4 Feb 2026
- 2025Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR30 Oct 2025
- 2025Algorithmic Collective Action with Multiple Collectives26 Aug 2025
- 2025Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency8 Jun 2025
- 2025Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy9 May 2025
- 2024Stereotype or Personalization? User Identity Biases Chatbot Recommendations8 Oct 2024
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses7 Jun 2024
- 2024Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance2 Feb 2024
- 2023FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion16 Nov 2023
- 2023Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review25 Oct 2023
12 newest of 18 All 18 (JSON)