Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps
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Abstract (arXiv)
Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how these apps process this information. However, developers often do not have sufficient legal knowledge to create such privacy policies. Online Automated Privacy Policy Generators (APPGs) can create privacy policies, but their quality and other characteristics can vary. In this paper, we conduct the first large-scale empirical study and comprehensive assessment of APPGs for mobile apps. Specifically, we scrutinize 10 APPGs on multiple dimensions. We further perform the market penetration analysis by collecting 46,472 Android app privacy policies from Google Play, discovering that nearly 20.1% of privacy policies could be generated by existing APPGs. Lastly, we point out that generated policies in our study do not fully comply with GDPR, CCPA, or LGPD. In summary, app developers must carefully select and use the appropriate APPGs with careful consideration to avoid potential pitfalls.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2023.
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Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025A Longitudinal Measurement of Privacy Policy Evolution for Large Language Modelscited by 2
- 2025Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impactcited by 1
- 2026A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMscited by 0
- 2026SoK: From Generation to Consumption of Privacy Documents in Software Systemscited by 0
- 2026An Empirical Study and Assessment of EU AI Act Compliance Checkerscited by 0
- 2026An Empirical Study and Assessment of EU AI Act Compliance Checkers28 Sep 2026
- 2026SoK: From Generation to Consumption of Privacy Documents in Software Systems12 Aug 2026
- 2026A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs19 Jul 2026
- 2025A Longitudinal Measurement of Privacy Policy Evolution for Large Language Models24 Nov 2025
- 2025Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impact7 Oct 2025