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