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Social computing privacy concerns: antecedents and effects
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Privacy and trust table of contents
Pages 333-336  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Oded Nov  New York University Polytechnic Institute, New York, USA
Sunil Wattal  Temple University, Philadelphia, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Social computing systems are increasingly a part of people's social environment. Inherent to such communities is the collection and sharing of personal information, which in turn may raise concerns about privacy. In this study, we extend prior research on internet privacy to address questions about antecedents of privacy concerns in social computing communities, as well as the impact of privacy concerns in such communities. The results indicate that users' trust in other community members, and the community's information sharing norms have a negative impact on community-specific privacy concerns. We also find that community-specific privacy concerns not only lead users to adopt more restrictive information sharing settings, but also reduce the amount of information they share with the community. In addition, we find that information sharing is impacted by network centrality and the tenure of the user in the community. Implications of the study for research and practice are discussed.


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