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Cited by 333

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Overcoming the “Ideology of Openness”: Probing the Affordances of Social Media for Organizational Knowledge Sharing

Gibbs, Jennifer L., Rozaidi, Nik Ahmad, Eisenberg, Julia·2013·Journal of Computer-Mediated Communication

Abstract

This study explores the ways in which the affordances of social media not only increase open communication and knowledge sharing, but also promote covert behavior, creating dialectical tensions for distributed workers that must be communicatively managed. Drawing on a case study of the engineering division of a distributed high tech start-up, we find our participants navigate tensions in visibility-invisibility, engagement-disengagement, and sharing-control and strategically manage these tensions to preserve both openness and ambiguity. These findings highlight ways in which organizational members limit as well as share knowledge through social media, and the productive role of tensions in enabling them to attend to multiple goals.

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Crossref · 10.1111/jcc4.12034

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Metadata

Authors
Gibbs, J. L., Rozaidi, N. A., & Eisenberg, J.
Venue
Journal of Computer-Mediated Communication
Published
2013-10
Volume
19
Issue
1
Pages
102-120
ISSN
1083-6101 (ISSN-L)
OpenAlex
W1515516363
Cited by
333
References
52
FWCI
50.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Overcoming the “Ideology of Openness”: Probing the Affordances of Social Media for Organizational Knowledge Sharing. https://app.cochat.ai/papers/10.1111/jcc4.12034
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Gibbs, J. L., Rozaidi, N. A., & Eisenberg, J. (2013). Overcoming the “Ideology of Openness”: Probing the Affordances of Social Media for Organizational Knowledge Sharing. Journal of Computer-Mediated Communication. https://doi.org/10.1111/jcc4.12034

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.