Investigating Deceptive Design in GDPR's Legitimate Interest

Algorithmic Transparency & AuditabilityPrivacy by Design & User ControlDark Patterns RecognitionPrivacy Policy MakersContent Governance & Platform Compliance Teams

Document Title

Investigating Deceptive Design in GDPR’s Legitimate Interest

Document Information

  • Subject Area: Data Protection and Privacy Design, Compliance Studies
  • Keywords: Deceptive Design, Dark Patterns, GDPR, Consent, Privacy Notice, Legitimate Interest, Human-Computer Interaction

Research Background and Issues

  • What problems or challenges did the authors identify?

    • The provision for Legitimate Interests in GDPR is flexible yet ambiguous, potentially creating loopholes for data collection.
    • Data controllers may exploit deceptive designs in privacy notices to misuse the legitimate interest basis, leading to passive data collection from users.
    • There is a lack of robust legal enforcement and systematic studies on privacy notice practices.
  • Why is this issue important?

    • The legitimate interest basis enables personal data processing without requiring explicit user consent, making it harder for users to detect and manage their privacy preferences.
    • Lack of transparency may infringe on users' rights to personal data protection, undermining the legitimacy and effectiveness of GDPR.
  • Research Motivation and Related Work

    • Practicality of contract enforcement and user consent has been widely studied, but the application of legitimate interests remains underexplored.
    • Other related work has revealed dark patterns in privacy notices, but few have focused on the implementation of legitimate interests.

Solutions

  • What methods or solutions did the authors propose?

    • Two studies were conducted to evaluate the practical application of GDPR’s legitimate interests and users’ understanding and perception of these practices:
      1. Using a web crawler to analyze privacy notices from 10,000 websites, identifying deceptive designs related to legitimate interests.
      2. Conducting a survey with 400 participants to understand users’ perceptions of legitimate interests and associated data collection purposes.
  • What is innovative about this solution?

    • It bridges theory and practice, revealing discrepancies between deceptive designs in legitimate interests and user perceptions for the first time.
    • Offers design and legal recommendations for improvement.
  • What are the implementation steps and key technologies used?

    • First Experiment: Developed a web crawler to analyze whether top websites mention legitimate interests in their privacy notices and assess the UI or language design of these notices.
    • Second Experiment: Designed a questionnaire to survey users’ attitudes toward legitimate interest data collection purposes and analyze factors influencing their acceptance of data collection.
    • Statistical analysis and content analysis methods were employed to extract results.

Research Findings

  • What specific findings were obtained?

    1. Legitimate Interest Practices:
      • Disclosure rates of legitimate interests in privacy notices were low, with only 4.74% of websites mentioning them.
      • Six types of deceptive designs were identified, including UI complexity, language ambiguity, and lack of unified management options.
    2. User Perception:
      • Users generally perceived legitimate interests as serving the interests of website providers and third-party advertisers rather than their own.
      • Users were most resistant to purposes like personalized ads and content, while they were more accepting of purposes such as security, debugging, and fraud detection.
  • How does it compare to existing solutions?

    • Provides a practical evaluation of legitimate interest usage and its legal assessment.
    • Offers specific policy recommendations and design improvements applicable to privacy notice UI and language design.
  • What were the experimental or evaluation results?

    • Implementation of legitimate interests often involves deceptive designs, such as mixing legitimate interests with user consent toggles.
    • Users’ acceptance of data collection purposes is primarily influenced by perceived benefits, with users more willing to accept purposes that provide personal or societal benefits.
  • Limitations and Future Directions

    • Limitations:
      • The web crawler analyzed only English websites, which may not represent all EU language contexts.
      • Survey participants were predominantly younger, potentially not reflecting the views of the general user population.
      • Some users had misconceptions about the concept of legitimate interests.
    • Future Directions:
      • Expand the sample size and language scope of the study.
      • Explore ways to enhance transparency in legitimate interest practices and involve users in policy-making.
      • Investigate the impact of automated privacy management tools (e.g., browser-level settings) on reducing deceptive designs.

Conclusion

  • The legitimate interest basis in GDPR has significant potential but is often accompanied by deceptive designs and insufficient legal oversight.
  • Users find current privacy notice designs confusing, with many data collection purposes misaligned with their preferences.
  • Strengthening GDPR enforcement, improving privacy notice design standards, and incorporating user feedback are essential to optimizing data protection policies.

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https://hci.top/en/papers/chi/96350/2023

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DOI: https://doi.org/10.1145/3544548.3580637
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Source
CHI
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Year
2023
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6 authors
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Subtopics
Algorithmic Transparency & Auditability, Privacy by Design & User Control, Dark Patterns Recognition
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Privacy Policy Makers, Content Governance & Platform Compliance Teams
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