What Drives People to Share Misinformation on Social Media during the COVID-19 Pandemic: A Stimulus-Organism-Response Perspective

Int J Environ Res Public Health. 2022 Sep 17;19(18):11752. doi: 10.3390/ijerph191811752.

Abstract

(1) Background: Misinformation is prevalent on social media in the age of COVID-19, exacerbating the threat of the pandemic. Uncovering the processes underlying people's misinformation sharing using social media assists people to cope with misinformation during the COVID-19 pandemic. This study extends the stimulus-organism-response framework to examine how individuals' social media dependency relates to their misinformation sharing behavior, with a focus on the underlying processes. (2) Methods: A total of 393 valid questionnaires were collected using a survey method to test the proposed research model. (3) Results: The results demonstrate that informational dependency and social dependency engender both positive and negative cognitive states, namely perceived information timeliness, perceived socialization and social overload, which then invoke positive as well as negative affect. What is more, the results show that both positive affect and negative affect can engender misinformation sharing. (4) Conclusions: Theoretically, this study uncovers the processes that lead to misinformation sharing on social media during the COVID-19 pandemic. Practically, this study provides actionable guidelines on how to manage social media usage and social media content to cope with misinformation sharing during the pandemic.

Keywords: COVID-19; misinformation sharing; social media dependency; stimulus-organism-response.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19*
  • Communication
  • Humans
  • Pandemics
  • Social Media*
  • Surveys and Questionnaires

Grants and funding

This work was supported by the Co-Construction Project of the Publicity Department of the CPC Hubei Provincial Committee & Huazhong University of Science and Technology on the School of Journalism [grant number: 2021E11].