Detecting Privacy Policies Violations Using Natural Language Inference (NLI)

Alshamsan, Abdullah R; Chaudhry, Shafique A

doi:10.1109/csde56538.2022.10089347

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2024

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Cited by 4 publications

References 28 publications

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Detection of Contradictions and Inconsistencies in German Regulatory Documents

Schumann,

Gómez

2024

2024 6th International Conference on Natural Language Processing (ICNLP)

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Detection of Contradictions and Inconsistencies in German Regulatory Documents

Schumann,

Gómez

2024

2024 6th International Conference on Natural Language Processing (ICNLP)

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Detection of Conflicts, Contradictions and Inconsistencies in Regulatory Documents: A Literature Review

Schumann,

Gómex

2024

2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)

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A Systematic Review of Privacy Policy Literature

Javed,

Sajid

2024

ACM Comput. Surv.

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An organization’s privacy policy states how it collects, stores, processes, and shares its users’ personal information. The growing number of data protection laws and regulations as well as the numerous sectors where the organizations are collecting user information, has led to the investigation of privacy policies with regards to their accessibility, readability, completeness, comparison with organization’s actual data practices, use of machine learning/natural language processing for automated analysis, and comprehension/perception/concerns of end-users via summarization/visualization tools and user studies. However, there is limited work on systematically reviewing the existing research on this topic. We address this gap by conducting a systematic review of the existing privacy policy literature. To this end, we compiled and analyzed 202 papers (published till 31 st December 2023) that investigated privacy policies. Our work advances the field of privacy policies by summarizing the analysis techniques that have been used to study them, the data protection laws/regulations explored, and the sectors to which these policies pertain. We provide actionable insights for organizations to achieve better end-user privacy.

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Detecting Privacy Policies Violations Using Natural Language Inference (NLI)

Cited by 4 publications

References 28 publications

Detection of Contradictions and Inconsistencies in German Regulatory Documents

Detection of Contradictions and Inconsistencies in German Regulatory Documents

Detection of Conflicts, Contradictions and Inconsistencies in Regulatory Documents: A Literature Review

A Systematic Review of Privacy Policy Literature

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