Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions
成果类型:
Article
署名作者:
Jiang, Zhenhui (Jack); Heng, Cheng Suang; Choi, Ben C. F.
署名单位:
National University of Singapore; University of New South Wales Sydney
刊物名称:
INFORMATION SYSTEMS RESEARCH
ISSN/ISSBN:
1047-7047
DOI:
10.1287/isre.1120.0441
发表日期:
2013
页码:
579-595
关键词:
COMPUTER-MEDIATED COMMUNICATION
SELF-PRESENTATION
internet
richness
disclosure
anonymity
exchange
TECHNOLOGY
validation
dimensions
摘要:
Privacy is of prime importance to many individuals when they attempt to develop online social relationships. Nonetheless, it has been observed that individuals' behavior is at times inconsistent with their privacy concerns, e.g., they disclose substantial private information in synchronous online social interactions, even though they are aware of the risks involved. Drawing on the hyperpersonal framework and the privacy calculus perspective, this paper elucidates the interesting roles of privacy concerns and social rewards in synchronous online social Interactions by examining the causes and the behavioral strategies that individuals utilize to protect their privacy. An empirical study involving 251 respondents was conducted in online chat rooms. Our results indicate that individuals utilize both self-disclosure and misrepresentation to protect their privacy and that social rewards help explain why individuals may not behave in accordance with their privacy concerns. In addition, we find that perceived anonymity of others and perceived intrusiveness affect both privacy concerns and social rewards. Our findings also suggest that higher perceived anonymity of self decreases individuals' privacy concerns, and higher perceived media richness increases social rewards. Generally, this study contributes to the information systems literature by integrating the hyperpersonal framework and the privacy calculus perspective to identify antecedents of privacy trade-off and predict individuals' behavior in synchronous online social interactions.
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