Judging the Believability of Social Media Misinformation: Source and Message Distinctiveness

Does the source and distinctiveness of misinformation in social media posts affect its believability? Across two studies, we examine this question utilizing vignette experimental survey designs that manipulated the source, accuracy of information, and whether the information was familiar or distinctive (unfamiliar). Four different topics with different political or moral positions were used to assess how effects varied across topics. True posts were found to be more believable than misinformation posts across the four topics in Study one (n = 595). In study two (n = 514), misinformation was rated as more believable, more accurate, and more trustworthy if it was unfamiliar rather than familiar. Source effects were significant but smaller than the distinctiveness effect. Posts from the source of authority were rated as more believable than those from a friend. Distinctive messages receive initial assessments of higher credibility, suggesting a heuristic process. However, the personally relevant topic of COVID, showed higher believability for unfamiliar misinformation, but also a higher percentage intending to verify the information through additional research. Those supporting more conservative views perceived misinformation as more believable. These findings are consistent with the Elaboration Likelihood Model of Persuasion. Implications and directions for future research are discussed.

Authors

Institutions

Publication Details

Journal
Psychological Reports
Published
2026-03-28
DOI
https://doi.org/10.1177/00332941261438080
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

Judging the Believability of Social Media Misinformation: Source and Message Distinctiveness

Jeff R. Huntsinger, Victoria Ward, Mohammed Abuhamad, Jennifer Forestal et al.
Psychological Reports
Misinformation and Its Impacts
article

Judging the Believability of Social Media Misinformation: Source and Message Distinctiveness

Jeff R. Huntsinger, Victoria Ward, Mohammed Abuhamad, Jennifer Forestal, Loretta J. Stalans, Rylee Abaya, Eric Chan-Tin, Tanner Duderstadt, Lauren Flanagan, Joi Rae Connor, Trevor Rowe, Milka Georgieva
article en

Abstract

Does the source and distinctiveness of misinformation in social media posts affect its believability? Across two studies, we examine this question utilizing vignette experimental survey designs that manipulated the source, accuracy of information, and whether the information was familiar or distinctive (unfamiliar). Four different topics with different political or moral positions were used to assess how effects varied across topics. True posts were found to be more believable than misinformation posts across the four topics in Study one (n = 595). In study two (n = 514), misinformation was rated as more believable, more accurate, and more trustworthy if it was unfamiliar rather than familiar. Source effects were significant but smaller than the distinctiveness effect. Posts from the source of authority were rated as more believable than those from a friend. Distinctive messages receive initial assessments of higher credibility, suggesting a heuristic process. However, the personally relevant topic of COVID, showed higher believability for unfamiliar misinformation, but also a higher percentage intending to verify the information through additional research. Those supporting more conservative views perceived misinformation as more believable. These findings are consistent with the Elaboration Likelihood Model of Persuasion. Implications and directions for future research are discussed.

Psychological Reports
Loyola University Chicago (US)
Reduced inequalities
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.

Judging the Believability of Social Media Misinformation: Source and Message Distinctiveness — Jeff R. Huntsinger, Victoria Ward, et al. · Psychological Reports (2026) | TGRS Research Map | TGRS