Health misinformation on social media: A literature review

Yang Jun Li, Christy M K Cheung, Xiao Liang Shen, Matthew K.O. Lee

Research output: Contribution to conferenceConference paperpeer-review

11 Citations (Scopus)


Health misinformation on social media is considered as a major public concern. This study evaluates the current state of this issue by conducting a systematic literature review. Based on a stepwise literature search and selection procedure, we have identified 21 articles relevant to the topic of health misinformation on social media. We find that health misinformation on social media is a new and emerging topic in multiple disciplines. One very important insight of this review is that most studies are theoretical and exploratory in nature. There is only a small number of studies have solid theoretical foundations. Finally, we discuss the implication of the literature review for future research.

Original languageEnglish
Publication statusPublished - Jul 2019
Event23rd Pacific Asia Conference on Information Systems, PACIS 2019: Secure ICT Platform for the 4th Industrial Revolution - Xi'an, China
Duration: 8 Jul 201912 Jul 2019


Conference23rd Pacific Asia Conference on Information Systems, PACIS 2019
Abbreviated titlePACIS
OtherPacific Asia Conference on Information Systems (PACIS 2019) was held at X'ian, China. PACIS is the main international Information Systems (IS) conference in the Pacific Asia Region. The primary purpose of PACIS is to enable regional and international Information Systems researchers and practitioners to meet in an annual forum that maximizes the opportunity for the exchange of information. The world’s Information Systems industry and research specialists, and academia are cordially invited to participate in a wealth of presentation, tutorials, special sessions and social activities for the advancement of Information Systems and Management.
The proceedings contain 250+ published articles and 20+ doctoral consortium articles.

Scopus Subject Areas

  • Information Systems

User-Defined Keywords

  • Health misinformation
  • Literature analysis
  • Rumors
  • Social media


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