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Cited by 800

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Signals in Social Supernets

Open access
Donath, Judith·2007·Journal of Computer-Mediated Communication

Abstract

Social network sites (SNSs) provide a new way to organize and navigate an egocentric social network. Are they a fad, briefly popular but ultimately useless? Or are they the harbingers of a new and more powerful social world, where the ability to maintain an immense network—a social “supernet”—fundamentally changes the scale of human society? This article presents signaling theory as a conceptual framework with which to assess the transformative potential of SNSs and to guide their design to make them into more effective social tools. It shows how the costs associated with adding friends and evaluating profiles affect the reliability of users’ self-presentation; examines strategies such as information fashion and risk-taking; and shows how these costs and strategies affect how the publicly-displayed social network aids the establishment of trust, identity, and cooperation—the essential foundations for an expanded social world.

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Crossref · 10.1111/j.1083-6101.2007.00394.x

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Metadata

Authors
Donath, J.
Venue
Journal of Computer-Mediated Communication
Published
2007-10
Volume
13
Issue
1
Pages
231-251
ISSN
1083-6101 (ISSN-L)
OpenAlex
W2152010691
Cited by
800
References
4
FWCI
93.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Signals in Social Supernets. https://app.cochat.ai/papers/10.1111/j.1083-6101.2007.00394.x
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Donath, J. (2007). Signals in Social Supernets. Journal of Computer-Mediated Communication. https://doi.org/10.1111/j.1083-6101.2007.00394.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.