What influences news learning and sharing on mobile platforms? An analysis of multi-level informational factors

  • Jianmei Wang*
  • , Masoumeh Zareapoor
  • , Yeh Cheng Chen
  • , Pourya Shamsolmoali
  • , Jinwen Xie
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Purpose: The purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform. Design/methodology/approach: This study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively. Findings: The findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing. Originality/value: This study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.

Original languageEnglish
Pages (from-to)1395-1419
Number of pages25
JournalLibrary Hi Tech
Volume41
Issue number5
DOIs
StatePublished - 31 Oct 2023
Externally publishedYes

Keywords

  • Influencing factors
  • Interpersonal behavior model
  • Mobile device
  • News learning
  • News sharing
  • Society ecosystem theory

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