Setting the Course, but Forgetting to Steer

Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and Youtube

Conference Paper (2026)
Author(s)

Sai Keerthana Karnam (Indian Institute of Technology Kharagpur)

Abhisek Dash (Max Planck Institute for Software Systems)

Antariksh Das (Indian Institute of Technology Kharagpur)

Sepehr Mousavi (Max Planck Institute for Software Systems)

Stefan Bechtold (ETH Zürich)

Krishna P. Gummadi (Max Planck Institute for Software Systems)

Animesh Mukherjee (Indian Institute of Technology Kharagpur)

Ingmar Weber (UdS Saarbrücken)

Savvas Zannettou (TU Delft - Technology, Policy and Management)

Research Group
Organisation & Governance
DOI related publication
https://doi.org/10.1109/SP63933.2026.00051 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Organisation & Governance
Pages (from-to)
2004-2022
Publisher
IEEE
ISBN (electronic)
9798331560652
Event
47th IEEE Symposium on Security and Privacy, SP 2026 (2026-05-18 - 2026-05-21), San Francisco, United States
Page Views
33
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Abstract

The GDPR's Right of Access aims to empower users with control over their personal data via Data Download Packages (DDPs). However, their effectiveness is often compromised by inconsistent platform implementations, questionable data reliability, and poor user comprehensibility. This paper conducts a comprehensive audit of DDPs from three social media platforms (TikTok, Instagram, and YouTube) to systematically assess these critical drawbacks. Despite offering similar services, we find that these platforms demonstrate significant inconsistencies in implementing the Right of Access, evident in varying levels of shared data. Critically, the failure to disclose processing purposes, retention periods, and other third-party data recipients serves as a further indicator of non-compliance. Our reliability evaluations, using bots and user-donated data, reveal that while TikTok's DDPs offer more consistent and complete data, others exhibit notable shortcomings. Similarly, our assessment of comprehensibility, based on surveys with 400 participants, indicates that current DDPs substantially fall short of GDPR's standards. To improve the comprehensibility, we propose and demonstrate a two-layered approach by: (1) enhancing the data representation itself using stakeholder interpretations; and (2) incorporating a user-friendly extension (Know Your Data) for intuitive data visualization where users can control the level of transparency they prefer. Our findings underscore the need for clearer and non-conflicting regulatory guidance, stricter enforcement, and platform commitment to realize the goal of GDPR's Right of Access.

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