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.
CITATION STYLE
Heravi, A., Mani, D., Choo, K. K. R., & Mubarak, S. (2017). Making decisions about self-disclosure in online social networks. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2017-January, pp. 1922–1931). IEEE Computer Society. https://doi.org/10.24251/hicss.2017.233
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