The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Expressing emotion in text-based communication
Abstract
Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communication, an environment that eliminates the nonverbal cues typically associated with emotion. The results from 40 dyadic interactions suggest that users relied on four strategies to express happiness versus sadness, including disagreement, negative affect terms, punctuation, and verbosity. Contrary to conventional wisdom, communication partners readily distinguished between positive and negative valence emotional communicators in this text-based context. The results are discussed with respect to the Social Information Processing model of strategic relational adaptation in mediated communication.
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Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382
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The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893
Current State of Text Sentiment Analysis from Opinion to Emotion Mining
Yadollahi, A., Shahraki, A. G., & Zaiane, O. R. (2018) · ACM Computing Surveys · doi:10.1145/3057270 · Cited by 489
Widespread Worry and the Stock Market
Gilbert, E., & Karahalios, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14023 · Cited by 283
Metadata
- Authors
- Hancock, J. T., Landrigan, C., & Silver, C.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2007-04-29
- Pages
- 929-932
- OpenAlex
- W2130716178
- Cited by
- 327
- References
- 1
- FWCI
- 10.02
- Type
- conference paper
- Language
- en
- Open access
- closed
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