"Positive Energy" : Perceptions and Attitudes Towards COVID-19 Information on Social Media in China

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

12 Scopus Citations
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Author(s)

  • Yue JIANG
  • Chenxinran SHEN
  • Margaret C. JACK
  • Daniel WIGDOR
  • Mor NAAMAN

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number177
Journal / PublicationProceedings of the ACM on Human-Computer Interaction
Volume5
Issue numberCSCW1
Online published22 Apr 2021
Publication statusPublished - Apr 2021

Abstract

The COVID-19 outbreak has resulted in a worldwide public health crisis. In such times of crisis, access to relevant and accurate information is critical. For many people in China, domestic social media platforms such as WeChat and Weibo have become dominant sources of COVID-19-related information and news. People have to evaluate the trustworthiness of COVID-19-related information and make sharing decisions using platforms that have to contend with government censorship policies, astroturfers, and other government interventions. We interviewed 33 Chinese WeChat users to understand how individuals were seeking COVID-19-related information and how they identified and evaluated specific COVID-19-related misinformation. This work exposes how COVID-19-related content with "positive energy" was prevalent on social media in China. A significant number of interviewees exhibited a willingness to prioritize information valence over veracity when evaluating and sharing content with others. Further, the work revealed how Chinese citizens' understanding of information ecosystems played an important role in their attitudes towards censorship and official media, and also influenced their evaluation of domestic and international information during a global crisis.

Research Area(s)

  • covid-19, fake news, misinformation, social media, trust

Citation Format(s)

"Positive Energy": Perceptions and Attitudes Towards COVID-19 Information on Social Media in China. / LU, Zhicong; JIANG, Yue; SHEN, Chenxinran et al.
In: Proceedings of the ACM on Human-Computer Interaction, Vol. 5, No. CSCW1, 177, 04.2021.

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