Evidence map›Paper›PMID 40598807›Full record

ArticleBritish journal of psychology (London, England : 1953)2025

Anti-social learning: The impact of language on mentalizing.

Bryony Payne, Geoffrey Bird, Caroline Catmur

Abstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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. Anti-social learning: The impact of language on mentalizing.British journal of psychology (London, England : 1953) · 2025
    Article
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

3 authors.

Bryony PayneDepartment of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Geoffrey BirdDepartment of Experimental Psychology, University of Oxford, Oxford, UK.
Caroline CatmurDepartment of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0001-6996-4295

Funding

John Templeton Foundation
6 · The paper itself

Abstract

Theories of cultural evolution suggest that humans may learn to represent others' minds through cultural practices including verbal instruction. It has been demonstrated that humans use less sophisticated mental state words when describing out-group members compared to in-group members, but whether this impacts on how out-group members' minds are represented has not yet been determined. The media is one of the main ways in which information about out-groups is shared; therefore, across three experiments we explored whether the language used in the media to describe out-groups, specifically language about mental states, shapes how recipients represent the minds of out-group members. All three experiments measured the extent to which participants represented out-group members as individuals with distinctive minds. Experiment 1 compared language in a left-leaning versus a right-leaning UK news source. Experiment 2 tested the effect of including or omitting mental states or first-person language, while Experiment 3 examined the impact of varying the amount of mental state language. We show that participants are more prone to take into account each out-group member's mind when inferring their mental states when mental state language is used to introduce them. This demonstrates the clear role of cultural learning on how people think about others' minds.

Indexed as

LanguageMedia ExposureMentalizationSocial LearningSocial PerceptionAdolescentAdultAgedAged, 80 and overCultural EvolutionFemaleHumansMaleMiddle AgedUnited KingdomYoung Adultcultural learninglanguagementalizingout‐groupstheory of mind

Identifiers

PMID40598807
PMCPMC12514331

What OpenQuestion holds

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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.