Affiliation
University of ArizonaIssue Date
2020Keywords
communication networksinformation gathering
organizational communication
privacy
surveillance
uncertainty management
Metadata
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University of Southern CaliforniaCitation
Bighash, L., Alexander, K. S., Hagen, C. S., & Hollingshead, A. B. (2020). A Model of Social Eavesdropping in Communication Networks. International Journal of Communication, 14, 23.Rights
Copyright © 2020 (Leila Bighash, Kristen S. Alexander, Christina S. Hagen, and Andrea B. Hollingshead). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Social eavesdropping is the gathering of information from the interactions of 2 or more people, without their expressed knowledge or expressed permission, by a third party who is ostensibly not the target audience. Grounded in uncertainty management, communication networks, and signaling theories, this article presents a theoretical framework for understanding when and how individuals are likely to eavesdrop on the interactions of others. Social eavesdropping can be actively premeditated or passively incidental, the latter spurred by a serendipitous encounter. Propositions derived from the model investigate how accessibility, information value, and social risk influence the likelihood of social eavesdropping. © 2020 (Leila Bighash, Kristen S. Alexander, Christina S. Hagen, and Andrea B. Hollingshead). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). All Rights Reserved.Note
Open access journalISSN
1932-8036Version
Final published versionCollections
Except where otherwise noted, this item's license is described as Copyright © 2020 (Leila Bighash, Kristen S. Alexander, Christina S. Hagen, and Andrea B. Hollingshead). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd).