Predicting social cues during online discussions: Effects of evaluations and knowledge content

Gaowei CHEN, Ming Ming CHIU, Zhan WANG

Research output: Contribution to journalArticles

7 Citations (Scopus)

Abstract

This study examined whether evaluations (agreements, disagreements), knowledge content (new ideas, justifications), or social cues (SCs) in recent messages affected a current message’s positive or negative SC during asynchronous, online discussions. Using statistical discourse analysis, we modeled 894 messages by 183 participants on 60 high school mathematics topics (typically eight people posted per topic) on a mathematics problem solving website not connected to any class or school. Results showed that recent agreements increased the likelihood of positive SC, whereas justifications reduced it. Disagreements increased the likelihood of negative SC, whereas new ideas reduced it. Meanwhile, recent positive or negative SCs did not affect the likelihood of a subsequent SC. Together, these results suggest that judicious use of positive SCs rather than negative SCs during disagreements can help students both construct knowledge and maintain social relationships. Copyright © 2012 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1497-1509
JournalComputers in Human Behavior
Volume28
Issue number4
DOIs
Publication statusPublished - Jul 2012

Citation

Chen, G., Chiu, M. M., & Wang, Z. (2012). Predicting social cues during online discussions: Effects of evaluations and knowledge content. Computers in Human Behavior, 28(4), 1497-1509.

Keywords

  • Online discussion
  • Social cues
  • Positive social cues
  • Negative social cues
  • Statistical discourse analysis

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