Evidence map›Paper›PMID 41760614›Full record

SynthesisNature communications2026

Systematic review and meta-analysis of the evidence for an illusory truth effect and its determinants.

Steeven Ye, David Attali, Maria Ghazi, Arnaud Cachia, Mathieu Cassotti, Grégoire Borst

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Steeven YeUniversité Paris Cité, LaPsyDÉ, CNRS, Paris, France.
David AttaliGHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Unité de Neuropsychiatrie interventionnelle, Paris, France.ORCID http://orcid.org/0000-0002-8295-3889
Maria GhaziUniversité Paris Cité, LaPsyDÉ, CNRS, Paris, France.ORCID http://orcid.org/0009-0001-6216-0267
Arnaud CachiaUniversité Paris Cité, LaPsyDÉ, CNRS, Paris, France.
Mathieu Cassotti *Université Paris Cité, LaPsyDÉ, CNRS, Paris, France.
Grégoire Borst *Université Paris Cité, LaPsyDÉ, CNRS, Paris, France. gregoire.borst@u-paris.fr.ORCID http://orcid.org/0000-0002-5815-3419

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-21-CE28-0025Association Nationale de la Recherche et de la Technologie (National Association for Research and Technology) 2022/1463
6 · The paper itself

Abstract

Over the last four decades, studies provided evidence that individuals tend to rate statements as being more truthful when they are re-exposed to them, the so-called 'illusory truth effect'. In light of a growing number of studies published since the previous meta-analysis in 2006 and concern of publishing biases, we conduct a meta-analysis on 182 studies and 366 effect sizes (N = 31,184 participants) published from 1977 to 2025. After correcting for small-study effects, we observe a small illusory truth effect (g = 0.37, 95% confidence interval [0.30, 0.44]), with a substantial within and between-study heterogeneity. Here, we show that multiple variables accounted for such heterogeneity, including the type of item, the instructions during the first exposure, the presence of veracity cues, and the duration of presentation on first exposure to the statement. We highlight the importance of the initial exposure and discuss practical implications regarding the current misinformation crisis.

Indexed as

IllusionsTruth DisclosureCommunicationHumans

Identifiers

PMID41760614
PMCPMC13066098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.