Online Social Networks: Why We Disclose

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating...

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Vydáno v:Journal of information technology Ročník 25; číslo 2; s. 109 - 125
Hlavní autoři: Krasnova, Hanna, Spiekermann, Sarah, Koroleva, Ksenia, Hildebrand, Thomas
Médium: Journal Article
Jazyk:angličtina
Vydáno: London, England SAGE Publications 01.06.2010
Palgrave Macmillan UK
Sage Publications Ltd
Témata:
Business and Management
Business Information Systems
Calculus
Content analysis
Cost control
Disclosure
Electronic commerce
Focus groups
Information
Information Systems and Communication Service
Innovation/Technology Management
Management
Mathematical models
Perceptions
Personal information
Policy making
Privacy
Qualitative research
Research Article
Self disclosure
Social exchange theory
Social media
Social networks
Structural equation modeling
Studies
Trust
User behavior
online communities
privacy
structural equation modeling
information disclosure
online social networks
motivation
ISSN:0268-3962, 1466-4437
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Popis
Shrnutí:On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.
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ISSN:0268-3962
1466-4437
DOI:10.1057/jit.2010.6