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Interpersonal Effects in Computer-Mediated Interaction: A Relational Perspective
Abstract
Several theories and much experimental research on relational tone in computer-mediated communication (CMC) points to the lack of nonverbal cues in this channel as a cause of impersonal and task-oriented messages. Field research in CMC often reports more positive relational behavior. This article examines the assumptions, methods, and findings of such research and suggests that negative relational effects are confined to narrow situational boundary conditions. Alternatively, it is suggested that communicators develop individuating impressions of others through accumulated CMC messages. Based upon these impressions, users may develop relationships and express multidimensional relational messages through verbal or textual cues. Predictions regarding these processes are suggested, and future research incorporating these points is urged.
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Managing Stress: The Needs of Autistic Adults in Video Calling
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Hey Google, Can I Ask You Something in Private?
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Is chatting with a sophisticated chatbot as good as chatting online or FTF with a stranger?
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Metadata
- Authors
- WALTHER, J. B.
- Venue
- Communication Research
- Publisher
- SAGE Publications
- Published
- 1992-02
- Volume
- 19
- Issue
- 1
- Pages
- 52-90
- ISSN
- 0093-6502 (ISSN-L)
- 1552-3810
- OpenAlex
- W2098572648
- Cited by
- 2,490
- References
- 5
- FWCI
- 17.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.