Addressing health misinformation dissemination on mobile social media

Rui Gu, Yili Kevin Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the pervasive use of social media apps, it is now common to see that people share health related information on the mobile social platforms. The spread of health misinformation on social media apps such as Facebook and WeChat poses serious threats to individual and public health. To address this issue, we drew upon reflective-impulsive model and went beyond the traditional view of users as reasoned decision makers by arguing that the health misinformation dissemination on social media apps is primarily driven by the impulsive system (habit and avoidance orientation). To reduce the dissemination, the reflective system should be strengthened. Accordingly, we propose that the presence of a message which emphasizes the negative effects of health misinformation dissemination and/or the accountability for health misinformation dissemination will reduce users' dissemination of the misinformation. Situational factors such as time availability, environmental noisiness and the dispositional moderator trait mindfulness will moderate the intervention effects.

Original languageEnglish (US)
Title of host publication40th International Conference on Information Systems, ICIS 2019
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683197
StatePublished - 2020
Externally publishedYes
Event40th International Conference on Information Systems, ICIS 2019 - Munich, Germany
Duration: Dec 15 2019Dec 18 2019

Publication series

Name40th International Conference on Information Systems, ICIS 2019

Conference

Conference40th International Conference on Information Systems, ICIS 2019
Country/TerritoryGermany
CityMunich
Period12/15/1912/18/19

Keywords

  • Health misinformation
  • Misinformation dissemination
  • Mobile social media

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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