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Cited by 905

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Online Social Networks: Why We Disclose

Krasnova, Hanna, Spiekermann, Sarah, Koroleva, Ksenia, Hildebrand, Thomas·2010·Journal of Information Technology
DOI 10.1057/jit.2010.6
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Abstract

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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Cites

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Metadata

Authors
Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T.
Venue
Journal of Information Technology
Publisher
SAGE Publications
Published
2010-06
Volume
25
Issue
2
Pages
109-125
ISSN
  • 0268-3962 (ISSN-L)
  • 1466-4437
DOI
10.1057/jit.2010.6
OpenAlex
W1996587039
Cited by
905
References
25
FWCI
66.78
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: Online Social Networks: Why We Disclose. https://app.cochat.ai/papers/10.1057/jit.2010.6
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Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online Social Networks: Why We Disclose. Journal of Information Technology. https://doi.org/10.1057/jit.2010.6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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