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Cited by 402

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale

Fox, Jesse, McEwan, Bree·2017·Communication Monographs

Abstract

The concept of affordances in communication technology research has proven to be heuristically provocative, yet perceived affordances are rarely measured. After extracting commonly cited social affordances from the literature, we developed a measure to assess participants’ perceptions of these affordances. The scale was tested across eight communication channels in two studies (face-to-face; texting; phone; email; posts on social networking sites, specifically Facebook; instant messaging; Skype videoconferencing; and mobile app Snapchat). A factor structure was developed in Study 1 and confirmed in Study 2. The resultant Perceived Social Affordances of Communication Channels Scale includes 41 items measuring 10 communicative affordances: accessibility, bandwidth, social presence, privacy, network association, personalization, persistence, editability, conversation control, and anonymity. Potential methodological and theoretical applications are discussed.

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Metadata

Authors
Fox, J., & McEwan, B.
Venue
Communication Monographs
Published
2017-06-28
Volume
84
Issue
3
Pages
298-318
ISSN
  • 0363-7751 (ISSN-L)
  • 1479-5787
OpenAlex
W2731695383
Cited by
402
References
13
FWCI
17.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale. https://app.cochat.ai/papers/10.1080/03637751.2017.1332418
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Fox, J., & McEwan, B. (2017). Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale. Communication Monographs. https://doi.org/10.1080/03637751.2017.1332418

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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.