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The Usable Privacy Policy research project develops methods and techniques to semi-automatically analyze privacy policies with crowdsourcing, natural language processing and machine learning. Explore some of the project’s data and analysis results on this website by seeing different types of data practices highlighted in privacy policies of different websites. The results currently presented on this site were obtained using annotations crowdsourced from law students.

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Learn about the contents and structure of privacy policies.
Start by exploring the privacy policies of the websites below or browse all 192 websites we've analyzed.

New York Times

Privacy policy from Jun 10, 2015 with 287 practice statements.

Fortune

Privacy policy from Jan 2, 2014 with 231 practice statements.

Yardbarker

Privacy policy from Jun 11, 2015 with 215 practice statements.