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PrivSTRUCT tool untangles privacy policies, revealing data purpose disclosure gaps

Researchers have developed PrivSTRUCT, a new framework designed to better analyze the structural hierarchy within privacy policies, moving beyond treating them as uniform text. This method aims to untangle complex data disclosures by considering section headings and logical structure. Applying PrivSTRUCT to over 3,700 Android apps revealed that developers are more likely to overstate data purposes when using general disclosures, particularly for first-party data collection and third-party sharing. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Enhances transparency in app privacy disclosures, potentially impacting how developers communicate data usage.

RANK_REASON Academic paper detailing a new framework for analyzing privacy policies.

Read on arXiv cs.AI →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · Bhanuka Silva, Anirban Mahanti, Aruna Seneviratne, Suranga Senevirante ·

    PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store

    arXiv:2604.22157v1 Announce Type: cross Abstract: Existing research typically treats privacy policies as flat, uniform text, extracting information without regard for the document's logical hierarchy. Disregard for structural cues of section headings designed to guide the reader,…

  2. arXiv cs.AI TIER_1 · Suranga Senevirante ·

    PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store

    Existing research typically treats privacy policies as flat, uniform text, extracting information without regard for the document's logical hierarchy. Disregard for structural cues of section headings designed to guide the reader, often leads automated methods to entangle distinc…