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Predicting privacy settings: a case study using Google Buzz

 

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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citation

Mashima, D.; Shi, E.; Sarkar, P.; Chow, R.; Li, C.; Song, D. Predicting privacy settings: a case study using Google Buzz. Third IEEE International Workshop on Security and Social Networking (SESOC); 2011 March 21; Seattle, WA. Piscataway, NJ: IEEE; 2011; 257-262.

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Copyright © IEEE, 2011. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.