A BERT-based Empirical Study of Privacy Policies' Compliance with GDPR
Lu Zhang, Nabil Moukafih, Hamad Alamri, Gregory Epiphaniou, Carsten, Maple

TL;DR
This paper uses a BERT-based model to empirically analyze GDPR compliance and readability of privacy policies from 70 5G network providers, revealing significant challenges in policy clarity and adherence.
Contribution
It introduces an automated BERT-based classification approach for GDPR compliance analysis and provides empirical insights into privacy policy readability for 5G networks.
Findings
51% of companies show strong GDPR adherence
Majority of policies are difficult to read
Need for improved privacy policy clarity
Abstract
Since its implementation in May 2018, the General Data Protection Regulation (GDPR) has prompted businesses to revisit and revise their data handling practices to ensure compliance. The privacy policy, which serves as the primary means of informing users about their privacy rights and the data practices of companies, has been significantly updated by numerous businesses post-GDPR implementation. However, many privacy policies remain packed with technical jargon, lengthy explanations, and vague descriptions of data practices and user rights. This makes it a challenging task for users and regulatory authorities to manually verify the GDPR compliance of these privacy policies. In this study, we aim to address the challenge of compliance analysis between GDPR (Article 13) and privacy policies for 5G networks. We manually collected privacy policies from almost 70 different 5G MNOs, and we…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Technology and Data Analysis · Privacy-Preserving Technologies in Data
