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The Personal Information Protection Law (PIPL) have strengthened the protection of personal information in China, and regulators have accordingly strengthened their supervision over the collection and use of personal information. Privacy policies play a pivotal role in safeguarding users’ privacy rights, promoting self-governance among developers, and rectifying the power imbalance between operators and users. It is essential to evaluate the legality of the privacy policies established by operators. Despite their importance, current privacy policy text is often quite lengthy and obscure, hindering user comprehension and under-mining their efficacy in safeguarding users’ informational rights. We construct the CCPP-181 dataset and develop a method for the automatic detection of privacy policy compliance.

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Automated Legality Detection on Privacy Policy Based on Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Juan Li,
  • Chenggong Zhao,
  • Jinze Sang,
  • Yan Gao

摘要

The Personal Information Protection Law (PIPL) have strengthened the protection of personal information in China, and regulators have accordingly strengthened their supervision over the collection and use of personal information. Privacy policies play a pivotal role in safeguarding users’ privacy rights, promoting self-governance among developers, and rectifying the power imbalance between operators and users. It is essential to evaluate the legality of the privacy policies established by operators. Despite their importance, current privacy policy text is often quite lengthy and obscure, hindering user comprehension and under-mining their efficacy in safeguarding users’ informational rights. We construct the CCPP-181 dataset and develop a method for the automatic detection of privacy policy compliance.