Data presented here are made available for research and teaching. Our results showcase both the power and limitations of human and machine annotation.
Annotations by law students on a set of 115 privacy policies collected in 2015. These annotations were used to train our classifiers.
Annotations generated by our machine learning classifiers for a set of over 7,000 privacy policies collected in 2017.
This project is funded by the National Science Foundation under its Secure and Trustworthy Computing initiative (CNS-1330596).