Referenced Items are not available for this document.
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.
Published in:
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on
Date of Conference: 21-25 March 2011
- Page(s):
- 257 - 262
- E-ISBN :
- 978-1-61284-936-2
- Print ISBN:
- 978-1-61284-938-6
- INSPEC Accession Number:
- 11989552
- Conference Location :
- Seattle, WA
- Digital Object Identifier :
- 10.1109/PERCOMW.2011.5766879
- Product Type:
- Conference Publications
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