Researchers have developed a method to audit privacy policies across multiple languages, overcoming the limitations of English-centric tools. Their approach uses large language models (LLMs) to achieve consistent cross-lingual performance in identifying personal data collection categories. A large-scale analysis of Spanish Android apps revealed that public sector apps primarily use Spanish privacy policies, while commercial apps often use English, highlighting a linguistic barrier that can obscure transparency issues. AI
IMPACT Enables more comprehensive privacy audits in multilingual digital environments, potentially leading to greater transparency and accountability for apps.
RANK_REASON The cluster contains an academic paper detailing a new methodology for privacy policy analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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