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Predicting Privacy Settings: A Case Study Using Google Buzz
Conferences & Talks

3rd IEEE International Workshop on SEcurity and SOCial Networking (SESOC 2011)

21 March 2011
Seattle, Washington



Social networks provide users with privacy settings to control what information is shared with connections and other users. In this paper, we analyze factors influencing changes in privacy-related settings in the Google Buzz social network. Specifically, we show statistics on contextual data related to privacy settings that are derived from crawled datasets and analyze the characteristics of users who changed their privacy settings. We also investigate potential neighboring effects among such users.


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