DocumentCode :
3130495
Title :
Privacy settings from contextual attributes: A case study using Google Buzz
Author :
Mashima, Daisuke ; Shi, Elaine ; Chow, Richard ; Sarkar, Prateek ; Li, Chris ; Song, Dawn
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
257
Lastpage :
262
Abstract :
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.
Keywords :
data privacy; social networking (online); statistics; Google Buzz; contextual attributes; privacy settings; social networks; statistics; Data privacy; Facebook; Google; Privacy; Switches; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-61284-938-6
Electronic_ISBN :
978-1-61284-936-2
Type :
conf
DOI :
10.1109/PERCOMW.2011.5766879
Filename :
5766879
Link To Document :
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