Evidence map›Paper›PMID 39109541›Full record

ArticleThe British journal of social psychology2025

Disentangling the effects of similarity, familiarity, and liking on social inference strategies.

Haran Sened, Tony X Phan, Mark A Thornton, Sara Verosky, Diana I Tamir

Abstract read
In one paragraph

Article in The British journal of social psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Review
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

5 authors.

Haran SenedDepartment of Psychology, Princeton University, Princeton, New Jersey, USA.ORCID https://orcid.org/0000-0003-0467-1154
Tony X PhanVanderbilt University Medical Center, Nashville, Tennessee, USA.
Mark A ThorntonDepartment of Psychological and Brain Sciences, Dartmouth University, Hanover, New Hampshire, USA.
Sara VeroskyCollege of Arts and Sciences, Oberlin College, Oberlin, Ohio, USA.
Diana I TamirDepartment of Psychology, Princeton University, Princeton, New Jersey, USA.

Funding

HORIZON EUROPE Marie Sklodowska-Curie ActionsNational Science Foundation
6 · The paper itself

Abstract

People constantly make inferences about others' beliefs and preferences. People can draw on various sources of information to make these inferences, including stereotypes, self-knowledge, and target-specific knowledge. What leads people to use each of these sources of information over others? The current study examined factors that influence the use of these sources of information, focusing on three interpersonal dimensions - the extent to which people feel (a) familiar with, (b) similar to, or (c) like the target. In four studies (total N = 1136), participants inferred the beliefs and preferences of others - celebrities (Studies 1a-1b), constructed fictional targets (Study 2), and actual acquaintances (Study 3). Participants also rated familiarity with, similarity to, and liking of the target. Analyses assessed the use of each source of information by comparing inferences with information provided by those sources. Familiarity was associated with greater use of target-specific knowledge, while similarity and liking were associated with self-knowledge. Low similarity and high liking were associated with increased use of stereotypes. We discuss the implication of these findings and their applicability to unique cases, including inferences about celebrities, public figures, and positively stereotyped groups, in which familiarity, similarity, and liking do not perfectly align.

Indexed as

Recognition, PsychologySocial PerceptionAdolescentAdultFemaleHumansMaleMiddle AgedStereotypingYoung Adultassumed similaritysocial cognitionsocial inferencesstereotypes

Identifiers

PMID39109541
PMCPMC11600487

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.