ArticleScientific reports2024
Source-credibility information and social norms improve truth discernment and reduce engagement with misinformation online.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Evaluating the reliability and quality of lupus nephritis educational content on TikTok and Bilibili: a cross-sectional content analysis.Lupus science & medicine · 2026Article
- How Heuristic Credibility Cues Shape Perceived Credibility on Social Media: A Meta-Analysis of Experimental Research.Behavioral sciences (Basel, Switzerland) · 2026Review
- Explaining away the illusion of consensus.Memory & cognition · 2026Article
- Article
- You sure about that? The effects of textual and image-based Skepticism on belief in dubious social-media claims.Cognitive research: principles and implications · 2026Article
- Authority reliance vs. deliberative assessment in processing online rumors: evidence from fNIRS.Frontiers in human neuroscience · 2026Article
- Why we believe chatbots: trust calibration as a design problem.Frontiers in psychology · 2026Article
- Article
- Hedging, ambiguity, and the rejection of misinformation: evidence from Chinese readers.Frontiers in psychology · 2026Article
- Understanding and Combating Misinformation: An Evolutionary Perspective.JMIR infodemiology · 2024Article
- A cross-sectional assessment of the influence of information sources about substance use in adolescents' tobacco prevalence.Heliyon · 2024Article
- Don't believe them! Reducing misinformation influence through source discreditation.Cognitive research: principles and implications · 2024Article
- Nudge-based misinformation interventions are effective in information environments with low misinformation prevalence.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Misinformation on social media is a pervasive challenge. In this study (N = 415) a social-media simulation was used to test two potential interventions for countering misinformation: a credibility badge and a social norm. The credibility badge was implemented by associating accounts, including participants', with a credibility score. Participants' credibility score was dynamically updated depending on their engagement with true and false posts. To implement the social-norm intervention, participants were provided with both a descriptive norm (i.e., most people do not share misinformation) and an injunctive norm (i.e., sharing misinformation is the wrong thing to do). Both interventions were effective. The social-norm intervention led to reduced belief in false claims and improved discrimination between true and false claims. It also had some positive impact on social-media engagement, although some effects were not robust to alternative analysis specifications. The presence of credibility badges led to greater belief in true claims, lower belief in false claims, and improved discrimination. The credibility-badge intervention also had robust positive impacts on social-media engagement, leading to increased flagging and decreased liking and sharing of false posts. Cumulatively, the results suggest that both interventions have potential to combat misinformation and improve the social-media information landscape.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.