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title: README |
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# Open Privacy Policy Taxonomy (OPPT) |
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**Advancing privacy policy transparency through open taxonomies and annotated datasets** |
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## Mission |
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We develop standardized frameworks and tools for analyzing privacy policies, enabling researchers and practitioners to: |
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- Identify dark patterns and deceptive practices in privacy disclosures |
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- Compare privacy practices across companies and sectors |
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- Build machine learning models for automated policy analysis |
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- Track regulatory compliance across jurisdictions |
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## Projects |
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### OPPT v1.0 Taxonomy |
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A comprehensive 14-category taxonomy for privacy policy classification, extending the foundational OPP-115 scheme with modern regulatory categories (GDPR, CCPA/CPRA, AI Act). |
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### OPPT-T1_C1.0_Section_Jan2026 Dataset |
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123 privacy policies from major technology companies annotated using OPPT v1.0, featuring: |
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- 3,651 annotated segments |
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- Three-model consensus methodology (Claude Haiku 4.5, GPT-5.2, Gemini-3-flash-preview) |
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- Rich attribute schemas |
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- Modern regulatory landscape (January 2026) |
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**Paper:** [Jurisdiction as Concealment](https://arxiv.org/abs/2601.20792) (arXiv:2601.20792) |
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## Research Areas |
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- Privacy policy analysis and NLP |
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- Dark pattern detection |
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- Regulatory compliance automation |
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- Consumer privacy protection |
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## Contact |
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- **Inquiries**: tebrackin@outlook.com |
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- **Commercial licensing**: tebrackin@outlook.com |
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--- |
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*Building tools for a more transparent digital privacy landscape* |
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