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Modeling and Analyzing User Behavior of Privacy Management on Online Social Network: Research in Progress

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2 Author(s)
Ki Jung Lee ; iSchool at Drexel Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA ; Il-Yeol Song

There are diversified threats to privacy in the area of online social network. Unlike traditional e-commerce situation, privacy on online social networks can be threatened by published communication open to untargeted audience and public disclosure of personally identifiable information. Moreover, users of online social network encounter greater threats to their privacy since management of privacy depends on both service vendors and users themselves. In order to better understand the mechanism of privacy on online social network, this paper explores a model of privacy related issues in regards to user behavior on online social networks, based on frequently used theories and research constructs.

Published in:

Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on

Date of Conference:

9-11 Oct. 2011