Why Do Citizens Share COVID‐19 Fact‐Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

  • Qiang Chen
  • Yangyi Zhang
  • Richard Evans
  • Chen Min

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number10058
Journal / PublicationInternational Journal of Environmental Research and Public Health
Volume18
Issue number19
Online published24 Sep 2021
Publication statusPublished - Oct 2021

Link(s)

Abstract

Widespread misinformation about COVID‐19 poses a significant threat to citizens long-term health and the combating of the disease. To fight the spread of misinformation, Chinese governments have used official social media accounts to participate in fact‐checking activities. This study aims to investigate why citizens share fact‐checks about COVID‐19 and how to promote this activity. Based on the elaboration likelihood model, we explore the effects of peripheral cues (social media capital, social media strategy, media richness, and source credibility) and central cues (content theme and content importance) on the number of shares of fact‐checks posted by official Chinese Government social media accounts. In total, 820 COVID‐19 fact‐checks from 413 Chinese Government Sina Weibo accounts were obtained and evaluated. Results show that both peripheral and central cues play important roles in the sharing of fact‐checks. For peripheral cues, social media capital and media richness significantly promote the number of shares. Compared with the push strategy, both the pull strategy and networking strategy facilitate greater fact‐check sharing. Fact-checks posted by Central Government social media accounts receive more shares than local government accounts. For central cues, content importance positively predicts the number of shares. In comparison to fact‐checks about the latest COVID‐19 news, government actions received fewer shares, while social conditions received more shares.

Research Area(s)

  • COVID‐19 misinformation, Elaboration likelihood model, Fact‐checking, Government social media, Information diffusion

Citation Format(s)

Why Do Citizens Share COVID‐19 Fact‐Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model. / Chen, Qiang; Zhang, Yangyi; Evans, Richard; Min, Chen.

In: International Journal of Environmental Research and Public Health, Vol. 18, No. 19, 10058, 10.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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