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Cited by 867

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

The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication

Walther, Joseph B., D’Addario, Kyle P.·2001·Social Science Computer Review

Abstract

Emoticons are graphic representations of facial expressions that many e-mail users embed in their messages. These symbols are widely known and commonly recognized among computer-mediated communication (CMC) users, and they are described by most observers as substituting for the nonverbal cues that are missing from CMC in comparison to face-to-face communication. Their empirical impacts, however, are undocumented. An experiment sought to determine the effects of three common emoticons on message interpretations. Hypotheses drawn from literature on nonverbal communication reflect several plausible relationships between emoticons and verbal messages. The results indicate that emoticons’ contributions were outweighed by verbal content, but a negativity effect appeared such that any negative message aspect—verbal or graphic—shifts message interpretation in the direction of the negative element.

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Metadata

Authors
Walther, J. B., & D’Addario, K. P.
Venue
Social Science Computer Review
Published
2001-08
Volume
19
Issue
3
Pages
324-347
ISSN
  • 0894-4393 (ISSN-L)
  • 1552-8286
OpenAlex
W2109712306
Cited by
867
References
4
FWCI
8.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication. https://app.cochat.ai/papers/10.1177/089443930101900307
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Walther, J. B., & D’Addario, K. P. (2001). The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication. Social Science Computer Review. https://doi.org/10.1177/089443930101900307

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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.