Examining users’ news sharing behaviour on social media: role of perception of online civic engagement and dual social influences

Sarbottam Bhagat, Dan J. Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Rising prominence of social media coupled with a myriad of recent developments in the built-in features has allowed users to instantly share news both within and across their social networks, making news-sharing a savvy trend. Additionally, these platforms have enabled users to share news critical to social and civic responsibilities, as well as political news critical to healthy socio-political function. Given the prominence of citizen-driven digital journalism, even ordinary users and passive receivers of information have a powerful voice in modern society, making news-sharing on social media a significant phenomenon spanning across social, economic, and political boundaries. News-sharing behaviour on social media demands further empirical investigation, especially with respect to the roles of online civic engagement and social influences. Drawing upon Elaboration Likelihood Model and Social Influence Theory, this study proposes a research model to explore individuals’ news-sharing behaviour and validates the proposed research model using empirical data collected by a survey of 513 active social media users. Findings confirm that online news quality, news source credibility, perception of online civic engagement, perceived influence on others, and social influence play a crucial role in users’ news-sharing behaviours. Theoretical and practical implications are discussed in light of these findings.

Original languageEnglish (US)
JournalBehaviour and Information Technology
DOIs
StateAccepted/In press - 2022

Keywords

  • elaboration likelihood model
  • news quality
  • News-sharing
  • social influence
  • social media
  • source credibility

ASJC Scopus subject areas

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Social Sciences(all)
  • Human-Computer Interaction

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