Immigration documentation statuses evoke racialized faceism in mental representations.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
09 05 2024
Historique:
received: 01 04 2023
accepted: 02 05 2024
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 9 5 2024
Statut: epublish

Résumé

U.S. immigration discourse has spurred interest in characterizing who illegalized immigrants are or perceived to be. What are the associated visual representations of migrant illegality? Across two studies with undergraduate and online samples (N = 686), we used face-based reverse correlation and similarity sorting to capture and compare mental representations of illegalized immigrants, native-born U.S. citizens, and documented immigrants. Documentation statuses evoked racialized imagery. Immigrant representations were dark-skinned and perceived as non-white, while citizen representations were light-skinned, evaluated positively, and perceived as white. Legality further differentiated immigrant representations: documentation conjured trustworthy representations, illegality conjured threatening representations. Participants spontaneously sorted unlabeled faces by documentation status in a spatial arrangement task. Faces' spatial similarity correlated with their similarity in pixel luminance and "American" ratings, confirming racialized distinctions. Representations of illegalized immigrants were uniquely racialized as dark-skinned un-American threats, reflecting how U.S. imperialism and colorism set conditions of possibility for existing representations of migrant illegalization.

Identifiants

pubmed: 38724676
doi: 10.1038/s41598-024-61203-2
pii: 10.1038/s41598-024-61203-2
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10673

Subventions

Organisme : Society for Personality and Social Psychology
ID : Inside the Panel Grant

Informations de copyright

© 2024. The Author(s).

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Auteurs

Joel E Martinez (JE)

Data Science Initiative, Harvard University, Cambridge, MA, USA. joeledmartinez@gmail.com.
Department of Psychology, Harvard University, Cambridge, MA, USA. joeledmartinez@gmail.com.

DongWon Oh (D)

Department of Psychology, National University of Singapore, Singapore, Singapore.

Alexander Todorov (A)

Booth School of Business, The University of Chicago, Chicago, IL, USA.

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