Exposure to misinformation: Patterns and predictors

Guanxiong Huang, Wenting Yu

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review


Using web survey data in the four studied cities, this chapter explores the patterns of exposure to debunked yet popularly circulated COVID-19 misinformation on social media such as WeChat, Facebook, and Twitter. It examines the types of COVID-19 misinformation (e.g., infectiousness, transmission routes, protection measures, and vaccines) that the respondents encounter the most often, and ties the encounters to their demographic characteristics and social differentiators. It further analyzes individual-level predictors and societal-level factors that affect respondents’ exposure to COVID-19 misinformation, including comparisons of the similarities and differences of exposure to COVID-19 misinformation across the four cities studied. The insight from the key findings is that full access to digital media and transparency reduce exposure to misinformation.
Original languageEnglish
Title of host publicationMiscommunicating the COVID-19 Pandemic
Subtitle of host publicationAn Asia Perspective
EditorsRan Wei, Ven-Hwei Lo, Yi-Hui Huang, Dong Dong, Hai Liang, Guanxiong Huang, Sibo Wang
PublisherTaylor and Francis Ltd.
Number of pages22
ISBN (Electronic)9781000954685
ISBN (Print)9781032410470
Publication statusPublished - 8 Sept 2023
Externally publishedYes

ASJC Scopus subject areas

  • General Arts and Humanities
  • General Social Sciences


Dive into the research topics of 'Exposure to misinformation: Patterns and predictors'. Together they form a unique fingerprint.

Cite this