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Expressing emotion in text-based communication

Published: 29 April 2007 Publication History

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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      cover image ACM Conferences
      CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2007
      1654 pages
      ISBN:9781595935939
      DOI:10.1145/1240624
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 29 April 2007

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      Author Tags

      1. affect
      2. computer-mediated communication
      3. emotion
      4. linguistic

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      CHI07: CHI Conference on Human Factors in Computing Systems
      April 28 - May 3, 2007
      California, San Jose, USA

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      CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      • (2025)AniBalloonsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103365194:COnline publication date: 1-Feb-2025
      • (2024)Impression management in a crisis: A conceptual framework of listed firms during the COVID-19 pandemicCorporate Ownership and Control10.22495/cocv21i2art921:2(114-120)Online publication date: 23-May-2024
      • (2024)The Effects of Font-Based Emotional Expression Messenger on User Interaction in Text-Based CommunicationArchives of Design Research10.15187/adr.2024.08.37.4.31537:4(315-334)Online publication date: 31-Aug-2024
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