Presumed Influence of Health Misinformation’s Threat to Others and Intentions to Correct it on Social Media: The Mediating Role of Emotions and the Moderating Role of Perceived Closeness

Building on the Influence of Presumed Influence model and Social Categorization Theory, we conducted a 2 (severity: high vs. low) × 2 (materials: two per severity condition) × 2 (susceptibility: high vs. low) × 2 (closeness: close vs. distant) between-subjects experiment with 903 Chinese adults to examine the relationship between perceived threats of health misinformation's influence on others and individuals' intentions to correct it. We found that the perceived severity of misinformation's influence on others was positively associated with corrective intentions, while the perceived susceptibility of others to this influence showed no significant association. Moreover, the perceived severity enhanced corrective intentions by eliciting both negative and positive emotions, particularly anticipated guilt and hope. Lastly, the perceived closeness of vulnerable others to oneself moderated the relationship between the perceived susceptibility and corrective intentions. Our study unveils a prospective mechanism for engaging social media users in combating misinformation, emphasizing the importance of strengthening users' perception of misinformation's threat to others and the critical role of specific discrete emotions in motivating correction.

Authors

Institutions

Publication Details

Journal
Health Communication
Published
2025-08-25
DOI
https://doi.org/10.1080/10410236.2025.2550064
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Presumed Influence of Health Misinformation’s Threat to Others and Intentions to Correct it on Social Media: The Mediating Role of Emotions and the Moderating Role of Perceived Closeness

Peter R. Lang, Shuangqing Liu, Rui Wang, Shan Gao
Health Communication
Misinformation and Its Impacts
article

Presumed Influence of Health Misinformation’s Threat to Others and Intentions to Correct it on Social Media: The Mediating Role of Emotions and the Moderating Role of Perceived Closeness

Peter R. Lang, Shuangqing Liu, Rui Wang, Shan Gao
article en

Abstract

Building on the Influence of Presumed Influence model and Social Categorization Theory, we conducted a 2 (severity: high vs. low) × 2 (materials: two per severity condition) × 2 (susceptibility: high vs. low) × 2 (closeness: close vs. distant) between-subjects experiment with 903 Chinese adults to examine the relationship between perceived threats of health misinformation's influence on others and individuals' intentions to correct it. We found that the perceived severity of misinformation's influence on others was positively associated with corrective intentions, while the perceived susceptibility of others to this influence showed no significant association. Moreover, the perceived severity enhanced corrective intentions by eliciting both negative and positive emotions, particularly anticipated guilt and hope. Lastly, the perceived closeness of vulnerable others to oneself moderated the relationship between the perceived susceptibility and corrective intentions. Our study unveils a prospective mechanism for engaging social media users in combating misinformation, emphasizing the importance of strengthening users' perception of misinformation's threat to others and the critical role of specific discrete emotions in motivating correction.

Health Communication
China University of Political Science and Law (CN), Beijing Normal University (CN)
Openalex Percentile: Top 70%
Misinformation and Its Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.