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 to overcome this problem with machine readable privacy policies or other solutions that require website operators to adhere to more stringent requirements have run into obstacles, with website operators showing reluctance to commit to anything more than what they currently do.
Our project combines machine learning, natural language processing and crowdsourcing to semi-automatically annotate privacy policies. We build models of issues that people are least likely to be aware of and most likely to care about to focus the annotation process and provide users with succinct privacy notices. Learn More