From Lack of Concerns to Complicity: How Misinformation Concerns Influences Fake News Sharing on WhatsApp via the Partisan Legitimation of Fake News

ABSTRACT Objectives Misinformation has emerged as an important threat to democracies, fostering severe concerns among citizens worldwide. However, even in this context, research emphasizes that citizens play a crucial role in the dissemination of falsehoods on social media. While previous studies argued that most users unintentionally share fake news when misjudging its accuracy, recent evidence points to partisan identity as a stronger predictor of this behavior. This study puts the literature on misinformation concerns and fake news sharing into dialogue to better understand the associations in time of this behavior. We focus on WhatsApp, a prominent platform for the circulation of falsehoods which has remained relatively understudied. Methods This study draws on a two‐wave panel survey fielded in Spain ( N = 570) between May 2022 and July 2022. Results We conceptualize the legitimation of partisan use of fake news—the belief that using falsehoods to criticize opposing ideologies is legitimate—and show that it mediates the relationship between misinformation concerns and fake news sharing on WhatsApp. We also show that social media news use and age predict, positively and negatively respectively, both legitimation of partisan use of fake news and fake news sharing. The direct effect of misinformation concerns on fake news sharing is non‐statistically significant. Conclusion Overall, the study illustrates how, in the current polarized environment, fake news may be weaponized to serve partisan interests.

Authors

Institutions

Publication Details

Journal
Social Science Quarterly
Published
2025-06-07
DOI
https://doi.org/10.1111/ssqu.70039
Citations
3
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
12.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Lack of Concerns to Complicity: How Misinformation Concerns Influences Fake News Sharing on WhatsApp via the Partisan Legitimation of Fake News

Manuel Goyanes, Beatriz Jordá, José M. de Fuentes
3 citations
Social Science Quarterly
Misinformation and Its Impacts
12.60
article

From Lack of Concerns to Complicity: How Misinformation Concerns Influences Fake News Sharing on WhatsApp via the Partisan Legitimation of Fake News

Manuel Goyanes, Beatriz Jordá, José M. de Fuentes
article en
3 citations

Abstract

ABSTRACT Objectives Misinformation has emerged as an important threat to democracies, fostering severe concerns among citizens worldwide. However, even in this context, research emphasizes that citizens play a crucial role in the dissemination of falsehoods on social media. While previous studies argued that most users unintentionally share fake news when misjudging its accuracy, recent evidence points to partisan identity as a stronger predictor of this behavior. This study puts the literature on misinformation concerns and fake news sharing into dialogue to better understand the associations in time of this behavior. We focus on WhatsApp, a prominent platform for the circulation of falsehoods which has remained relatively understudied. Methods This study draws on a two‐wave panel survey fielded in Spain ( N = 570) between May 2022 and July 2022. Results We conceptualize the legitimation of partisan use of fake news—the belief that using falsehoods to criticize opposing ideologies is legitimate—and show that it mediates the relationship between misinformation concerns and fake news sharing on WhatsApp. We also show that social media news use and age predict, positively and negatively respectively, both legitimation of partisan use of fake news and fake news sharing. The direct effect of misinformation concerns on fake news sharing is non‐statistically significant. Conclusion Overall, the study illustrates how, in the current polarized environment, fake news may be weaponized to serve partisan interests.

Social Science QuarterlyVol. 106(4)
Saint Louis University (ES), Universidad Carlos III de Madrid (ES)
Comunidad de Madrid, Universidad Carlos III de Madrid
Openalex Percentile: Top 2%
Misinformation and Its Impacts
12.60
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.