Knowledge sharing discourse types used by key actors in online affinity spaces

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The growth of online social network sites and their conceptualization as affinity spaces makes them well suited for exploring how individuals share knowledge and practices around specific interests or affinities. The purpose of this study is to extend what is known about highly active/key actors in online affinity spaces, especially the ways in which they sustain and contribute to knowledge sharing. Design/methodology/approach: This study analyzed 514 discussion posts gathered from an online affinity space on disease management. This study used a variety of methods to answer the research questions: the authors used discourse analyses to examine the conversations in the online affinity space, social network analyses to identify the structure of participation in the space and association rule mining and sentiment analysis to identify co-occurrence of discourse codes and sentiment of the discussions. Findings: The results indicate that the quality and type of discourse varies considerably between key and other actors. Key actors’ discourse in the network serves to elaborate on and explain ideas and concepts, whereas other actors provide a more supportive role and engage primarily in storytelling. Originality/value: This work extends what is known about informal mentoring and the role of key actors within affinity spaces by identifying specific discourse types and types of knowledge sharing that are characteristic of key actors. Also, this study provides an example of the use of a combination of rule mining association and sentiment analysis to characterize the nature of the affinity space.

Original languageEnglish (US)
Pages (from-to)671-687
Number of pages17
JournalInformation and Learning Science
Volume122
Issue number9-10
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications
  • Library and Information Sciences

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