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Why are social media users susceptible to health misinformation? A perspective from complexity theory

Zuying Mo (Zhengzhou University of Aeronautics, Zhengzhou, China)
Yiming Guo (Zhengzhou University of Aeronautics, Zhengzhou, China)
Daqing Pan (Zhengzhou University of Aeronautics, Zhengzhou, China)

Aslib Journal of Information Management

ISSN: 2050-3806

Article publication date: 26 April 2024

340

Abstract

Purpose

Health misinformation on social media threatens public health. A critical question that sheds light on the propagation of health misinformation across social media platforms revolves around identifying the specific types of social media users susceptible to this issue. This study provides an initial insight into this matter by examining the underlying psychological mechanism that renders users susceptible to health misinformation.

Design/methodology/approach

In this study, we developed an integrated model of susceptibility to health misinformation, drawing on the motivation-opportunity-ability theory and the elaboration likelihood model. We collected the data from a sample of 342 social media users in China. Furthermore, the fuzzy-set qualitative comparative analysis was adopted to examine the proposed model and uncover the causal recipes associated with susceptibility to health misinformation.

Findings

The results indicated that there are three configural types of users that are susceptible to health misinformation: the health-consciousness core-driven type, the popularity-driven core type and the dual-driven type characterized by both high health consciousness and information popularity. Among these, high health-consciousness and the reliance on information popularity-based pathways emerge as pivotal factors influencing susceptibility to health misinformation.

Originality/value

This study contributes to the social media literature by identifying various psychological traits that lead to social media users’ susceptibility to health misinformation. Additionally, the study provides comprehensive guidance on how to mitigate the spread of health misinformation.

Keywords

Acknowledgements

This research was funded by the National Social Science Fund of China in 2021 under Grant Number 21BTQ049.

Citation

Mo, Z., Guo, Y. and Pan, D. (2024), "Why are social media users susceptible to health misinformation? A perspective from complexity theory", Aslib Journal of Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/AJIM-10-2023-0439

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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