Generating default privacy policies for online social networks

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-inprogress, 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. Keywords information disclosure, privacy, default policies, online social networks, location sharing technology ACM Classification Keywords H.5.2 Information Interfaces and Presentation: us...

• Type: Conference
• Year: 2010
• Where: CHI
• Authors: Eran Toch, Norman M. Sadeh, Jason I. Hong
• Keywords: CHI 2010, Default Policies, Default Privacy Policies, Human Computer Interaction, Privacy Policies