Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social, individual and technological issues for groupware calendar systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Understanding and capturing people's privacy policies in a mobile social networking application
Personal and Ubiquitous Computing
Personality-based privacy management for location-sharing in diverse subpopulations
Proceedings of the 2011 iConference
Privacy risks emerging from the adoption of innocuous wearable sensors in the mobile environment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A secret sharing based privacy enforcement mechanism for untrusted social networking operators
MiFor '11 Proceedings of the 3rd international ACM workshop on Multimedia in forensics and intelligence
Readability assessment of policies and procedures of social networking sites
OCSC'13 Proceedings of the 5th international conference on Online Communities and Social Computing
Location sharing privacy preference: analysis and personalized recommendation
Proceedings of the 19th international conference on Intelligent User Interfaces
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Default privacy policies have a significant impact on the overall dynamics and success of online social networks, as users tend to keep their initial privacy policies. In this work-in-progress, we present a new method for suggesting privacy policies for new users by exploring knowledge of existing policies. The defaults generation process performs a collaborative analysis of the policies, finding personalized and representative suggestions. We show how the process can be extended to a wide range of domains, and present results based on 543 privacy policies obtained from a live location-based social network. Finally, we present a user interaction model that lets the user retain control over the default policies, allowing the user to make knowledgeable decisions regarding which default policy to take.