Understanding trust influencing factors in social media communication: A qualitative study

Xusen Cheng, Shixuan Fu, Gert Jan de Vreede

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Based on five types of trust, this research explores trust influencing factors in peer-to-peer interpersonal communication, group communication and mass communication. Previous research has mainly focused on trust and the corresponding antecedents in electronic commerce communication and online collaboration. This study extends the literature on trust influencing factors in social media communication. A trust traffic light model is used to illustrate the importance of keywords, drawn from interviews with 115 participants who use WeChat frequently. Salient trust factors were found and further elaborated through qualitative analysis. Furthermore, we developed a trust cognitive onion model to illustrate the interactions of trust factors.

Original languageEnglish (US)
Pages (from-to)25-35
Number of pages11
JournalInternational Journal of Information Management
Volume37
Issue number2
DOIs
StatePublished - Apr 1 2017

Fingerprint

social media
communication
Communication
electronic commerce
mass communication
interpersonal communication
traffic
Electronic commerce
Telecommunication traffic
interaction
interview
Group

Keywords

  • Cognitive mapping
  • Communication
  • Social media
  • Trust factors
  • WeChat

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Library and Information Sciences

Cite this

Understanding trust influencing factors in social media communication : A qualitative study. / Cheng, Xusen; Fu, Shixuan; de Vreede, Gert Jan.

In: International Journal of Information Management, Vol. 37, No. 2, 01.04.2017, p. 25-35.

Research output: Contribution to journalArticle

Cheng, Xusen ; Fu, Shixuan ; de Vreede, Gert Jan. / Understanding trust influencing factors in social media communication : A qualitative study. In: International Journal of Information Management. 2017 ; Vol. 37, No. 2. pp. 25-35.
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