I assume others are influenced by health misinformation on social media: examining the underlying process of intentions to combat health misinformation
Abstract
Purpose
The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.
Design/methodology/approach
Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.
Findings
Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.
Originality/value
This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.
Keywords
Acknowledgements
This work was supported by the BIGC Project – Research on the Status Quo and Influencing Factors of Digital Inclusion among Chinese Elderly People under Grant No: E6202304 and the Fundamental Research Funds for the Central Universities under Grant No: 1206-600460021 and Grant No: 1206-600460035.
Citation
Luo, C., Zheng, H., Tang, Y. and Yang, X. (2024), "I assume others are influenced by health misinformation on social media: examining the underlying process of intentions to combat health misinformation", Online Information Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/OIR-02-2024-0103
Publisher
:Emerald Publishing Limited
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