Making Decisions about Self-Disclosure in Online Social Networks

Date
2017-01-04
Authors
Heravi, Alireza
Mani, Deepa
Choo, Kim-Kwang Raymond
Mubarak, Sameera
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This paper explores privacy calculus decision making processes for online social networks (OSN). Content analysis method is applied to analyze data obtained from face-to-face interviews and online survey with open-ended questions of 96 OSN users from different countries. The factors users considered before self-disclosing are explored. The perceived benefits and risks of using OSN and their impact on self-disclosure are also identified. We determine that the perceived risks of OSN usage hinder self-disclosure. It is not clear, however, whether the perceived benefits offset the impact of the risks on self-disclosure behavior. The findings as a whole do not support privacy calculus in OSN settings.
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online social network, privacy calculus, self-disclosure
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10 pages
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Proceedings of the 50th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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