Predicting privacy settings: a case study using Google Buzz

• SESOC 2011

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.

• go to publisher site »

read more

• download PDF (486K)

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.

copyright

Copyright © IEEE, 2011. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.