Social conformity updates the neural representation of facial attractiveness
People readily change their behavior to comply with others. However, to which extent they will internalize the social influence remains elusive. In this preregistered electroencephalogram (EEG) study, we investigated how learning from one's in-group or out-group members about facial attractiveness would change explicit attractiveness ratings and spontaneous neural representations of facial attractiveness. Specifically, we quantified the neural representational similarities of learned faces with prototypical attractive faces during a face perception task without overt social influence and intentional evaluation. We found that participants changed their explicit attractiveness ratings to both in-group and out-group influences. Moreover, social conformity updated spontaneous neural representation of facial attractiveness, an effect particularly evident when participants learned from their in-group members and among those who perceived tighter social norms. These findings offer insights into how group affiliations and individual differences in perceived social norms modulate the internalization of social influence.
Authors
- Ziqing Yao (ORCID: https://orcid.org/0000-0002-8639-4180)
- Danni Chen (ORCID: https://orcid.org/0000-0002-1617-5433)
- Haiyan Wu (ORCID: https://orcid.org/0000-0001-8869-6636)
- Jing Liu (ORCID: https://orcid.org/0000-0002-9167-6190)
- Xiaoqing Hu (ORCID: https://orcid.org/0000-0001-8112-9700)
Institutions
- Hong Kong Polytechnic University (HK)
- Chinese University of Hong Kong (HK)
- University of Macau (MO)
- Hong Kong Virtual University (CN)
- Institut de Recherche et d’Innovation (FR)
- University of Hong Kong (HK)
Publication Details
- Journal
- Communications Biology
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1038/s42003-024-06791-5
- Citations
- 10
- Primary Topic
- Evolutionary Psychology and Human Behavior
- Type
- article
- Field-Weighted Citation Impact
- 4.57
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- Research Grants Council, University Grants Committee