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