LLMs Enable Multilingual Privacy Policy Audits Across 24 EU Languages
Researchers show that large language models (LLMs) can classify privacy policy data collection categories across all 24 official EU languages with high accuracy (macro-F1 scores of 0.91–0.94), without language-specific adaptation. Using this capability, they audit 2,611 Spanish Android apps, finding that public-sector apps mainly use Spanish policies while popular commercial apps use English, and uncover systematic discrepancies between declared and observed data practices, particularly in public-sector apps.
Why it matters: This work demonstrates that LLMs can break linguistic barriers in privacy auditing, exposing transparency gaps that English-only analyses would miss—an important advance for enforcing data protection in multilingual regions like the EU.
Full story at: arXiv Computers and Society ↗