RADS-Checker: Measuring Compliance with Right of Access by the Data Subject in Android Markets
Zhenhua Li, Zhanpeng Liang, Congcong Yao, Jingyu Hua, Sheng Zhong

TL;DR
This study develops a framework to measure how well mobile apps comply with the GDPR's Right of Access, revealing significant gaps between policy declarations and actual data provision to users.
Contribution
It introduces a novel, comprehensive framework combining NLP analysis and runtime testing to evaluate RADS compliance in mobile apps.
Findings
Less than 55% of apps declare offering data access in policies.
Fewer than 20% of apps actually provide user data upon request.
Only about 3% of data copies are complete and verified.
Abstract
The latest data protection regulations worldwide, such as the General Data Protection Regulation (GDPR), have established the Right of Access by the Data Subject (RADS), granting users the right to access and obtain a copy of their personal data from the data controllers. This clause can effectively compel data controllers to handle user personal data more cautiously, which is of significant importance for protecting user privacy. However, there is currently no research systematically examining whether RADS has been effectively implemented in mobile apps, which are the most common personal data controllers. In this study, we propose a compliance measurement framework for RADS in apps. In our framework, we first analyze an app's privacy policy text using NLP techniques such as GPT-4 to verify whether it clearly declares offering RADS to users and provides specific details on how the…
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Taxonomy
TopicsDigital Rights Management and Security · Privacy, Security, and Data Protection · Advanced Malware Detection Techniques
