The Usable Privacy Policy Project

Towards Effective Web Privacy Notice and Choice

Natural language privacy policies have become the de facto standard to address expectations of “notice and choice” on the Web. However, users generally do not read these policies and those who do struggle to understand them. Initiatives, such as P3P and Do Not Track aimed to address this problem by developing machine-readable formats to convey a website's data practices. However, many website operators are reluctant to embrace such approaches.
In the Usable Privacy Policy Project, we build on recent advances in natural language processing (NLP), privacy preference modeling, crowdsourcing, and privacy interface design in order to develop a practical framework based on a website's existing natural language privacy policy that empowers users to more meaningfully control their privacy, without requiring additional cooperation from website operators.Learn More

Visit our YouTube channel for more videos.

OPP-115 Corpus

The OPP-115 corpus consists of 115 privacy policies with 23K fine-grained data practice annotations. Download the corpus.

Use our interactive website to navigate privacy policy annotations extracted by both humans and machine learning techniques. Visit

Project Newsletter

Our project newsletter highlights our progress and activities over the past year. Read the newsletter.

PLT Symposium

The AAAI Fall Symposium on Privacy and Language Technologies will be held Nov. 17-19, 2016, in Arlington, VA. Learn more.

This project is funded by the National Science Foundation under its Secure and Trustworthy Computing initiative (CNS-1330596).