Evidence map›Paper›PMID 37757743›Full record

ArticleSocial cognitive and affective neuroscience2023

Learning from in-group and out-group models induces separative effects on human mate copying.

Jiajia Xie, Lin Li, Yang Lu, Jinying Zhuang, Yuyan Wu, Peng Li, Li Zheng

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Jiajia XieDepartment of Psychology, Normal College, Qingdao University, Qingdao 266071, China.
Lin LiShanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Yang LuFudan Institute on Ageing, Fudan University, Shanghai 200433, China.
Jinying ZhuangSchool of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Yuyan WuShanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China.
Peng LiSchool of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Li ZhengFudan Institute on Ageing, Fudan University, Shanghai 200433, China.ORCID 0000-0002-4975-6904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mate copying is a social learning process in which individuals gather public information about potential mates by observing models' choices. Previous studies have reported that individual attributes of female models affect mate copying, yet little is known about whether and how the group attributes of models influence mate copying. In the current behavioral and functional magnetic resonance imaging studies, female participants were asked to rate their willingness to choose the depicted males as potential romantic partners before and after observing in-group or out-group female models accepting, rejecting or being undecided (baseline) about the males. Results showed that participants changed their ratings to align with the models' acceptance or rejection choices. Compared to rejection copying, the effect of acceptance copying was stronger and regulated by in- and out-group models, manifesting a discounting copying effect when learning from out-group models. At the neural level, for acceptance copying, stronger temporoparietal junction (TPJ) activity and connectivity between TPJ and anterior medial prefrontal cortex (amPFC) were observed when female models belonged to out-group members; meanwhile, the functional connection of TPJ and amPFC positively predicted the rating changes when learning from out-group models. The results indicated that participants might need more resources to infer out-group members' intentions to overcome the in-group bias during acceptance copying.

Indexed as

Imitative BehaviorSocial LearningChoice BehaviorFemaleHumansMalePrefrontal CortexamPFChuman mate copyingin- and out-groupmentalizingTPJ

Identifiers

PMID37757743
PMCPMC10547020

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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.