Abstract
On social media, people often react to posts using both written comments and images. While prior work has shown that these reactions can influence belief in claims, it has often conflated signals of (dis)endorsement with justifications of dissent. It is therefore unclear whether skeptical comments that express doubt about a claim's veracity without providing informational content can reduce claim belief. We tested whether pure text- or image-based expressions of skepticism reduce belief in dubious claims, and how skepticism compares with non-evidence-supported rebuttals that explicitly declare a claim to be false, in the presence versus absence of supportive comments that express general acceptance or agreement with a claim. Participants (N = 200) rated their belief in true and false claims presented as social-media posts with varying combinations of supportive, skeptical (textual vs. image-based), or non-evidence-supported negational comments. Results showed that supportive comments were associated with greater claim belief, while skeptical comments reduced belief, with no difference between text and image formats. Direct negations had the strongest corrective effect despite not providing any evidence. Implications are discussed, including the risk of skepticism reducing belief in true claims, underscoring the need for oversight of community-based fact-checking tools on social media.
| Original language | English |
|---|---|
| Article number | 30 |
| Number of pages | 10 |
| Journal | Cognitive Research: Principles and Implications |
| Volume | 11 |
| Issue number | 1 |
| Early online date | 30 Mar 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 30 Mar 2026 |
Funding
| Funders | Funder number |
|---|---|
| ARC Australian Research Council | DP240101230 |
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Dive into the research topics of 'You sure about that? The effects of textual and image-based Skepticism on belief in dubious social-media claims'. Together they form a unique fingerprint.Projects
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The Misinformation Future—Confronting Emerging Threats
Ecker, U. (Investigator 01), Newman, E. (Investigator 02), Lewandowsky, S. (Investigator 03) & Swire-Thompson, B. (Investigator 04)
ARC Australian Research Council
6/05/24 → 5/05/28
Project: Research
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