Moral anger accelerates misinformation sharing: evidence from experimental manipulations and hierarchical drift-diffusion modelling

Moral outrage is a powerful motivational force that drives social change and collective action. Social media has become a primary arena for the expression and amplification of moral outrage, where users' emotional reactions often translate into rapid information sharing. Yet this process also amplifies the spread of moralised misinformation, posing substantial social challenges. While moral outrage plays a central role in such dynamics, the distinct roles of its core components, moral anger and disgust, remain unclear. Grounded in the Elaboration Likelihood Model and moral emotion theories, our study aimed to investigate how moral anger and moral disgust interact with source credibility to influence online information sharing. Across three experiments, we systematically manipulated message features (source credibility, moral transgression severity) and participants' cognitive-affective states (attention to morality versus accuracy, moral emotional states). Results indicated greater transgression severity increased willingness to share (WTS), particularly when morality was emphasised (Study 1). While higher source credibility generally increases WTS (all studies), moral anger (not disgust) overrode credibility cues (Study 2). Drift-diffusion model revealed that anger induction accelerated decision-making and lowered decision thresholds (Study 3). These findings identify moral anger as a peripheral cue that facilitates impulsive sharing and offers insights for emotion-based misinformation interventions.

Authors

Institutions

Publication Details

Journal
Cognition & Emotion
Published
2026-03-27
DOI
https://doi.org/10.1080/02699931.2026.2647351
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

Moral anger accelerates misinformation sharing: evidence from experimental manipulations and hierarchical drift-diffusion modelling

Haibo Jiang, H. W. Yu, Shenyuan Guo, Xiaozhe Peng
Cognition & Emotion
Misinformation and Its Impacts
article

Moral anger accelerates misinformation sharing: evidence from experimental manipulations and hierarchical drift-diffusion modelling

Haibo Jiang, H. W. Yu, Shenyuan Guo, Xiaozhe Peng
article en

Abstract

Moral outrage is a powerful motivational force that drives social change and collective action. Social media has become a primary arena for the expression and amplification of moral outrage, where users' emotional reactions often translate into rapid information sharing. Yet this process also amplifies the spread of moralised misinformation, posing substantial social challenges. While moral outrage plays a central role in such dynamics, the distinct roles of its core components, moral anger and disgust, remain unclear. Grounded in the Elaboration Likelihood Model and moral emotion theories, our study aimed to investigate how moral anger and moral disgust interact with source credibility to influence online information sharing. Across three experiments, we systematically manipulated message features (source credibility, moral transgression severity) and participants' cognitive-affective states (attention to morality versus accuracy, moral emotional states). Results indicated greater transgression severity increased willingness to share (WTS), particularly when morality was emphasised (Study 1). While higher source credibility generally increases WTS (all studies), moral anger (not disgust) overrode credibility cues (Study 2). Drift-diffusion model revealed that anger induction accelerated decision-making and lowered decision thresholds (Study 3). These findings identify moral anger as a peripheral cue that facilitates impulsive sharing and offers insights for emotion-based misinformation interventions.

Cognition & Emotion
University of California, Santa Barbara (US), Shenzhen University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
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.