Detection of image filters is biased by gender and internalized beauty ideals

Social media has affected how we relate to our body image. Digital makeovers have both reinforced existing beauty ideals and created new ones. This project investigated whether young adults’ detection of image filters was biased by internalized beauty ideals and gender. Participants completed a visu...

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Detalles Bibliográficos
Autores principales:	Flores Bravo, Ivonnia M., Speranza, Trinidad B., Saux, Gastón I., Ramenzoni, Verónica C.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Cognitive Science Society 2025
Materias:	REDES SOCIALES IMAGEN CORPORAL AUTOPERCEPCION IDEALES DE BELLEZA FILTROS DIGITALES INSTAGRAM
Acceso en línea:	https://repositorio.uca.edu.ar/handle/123456789/20186
Aporte de:	Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina

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spelling	I33-R139-123456789-201862025-07-17T05:01:13Z Detection of image filters is biased by gender and internalized beauty ideals Flores Bravo, Ivonnia M. Speranza, Trinidad B. Saux, Gastón I. Ramenzoni, Verónica C. REDES SOCIALES IMAGEN CORPORAL AUTOPERCEPCION IDEALES DE BELLEZA FILTROS DIGITALES INSTAGRAM Social media has affected how we relate to our body image. Digital makeovers have both reinforced existing beauty ideals and created new ones. This project investigated whether young adults’ detection of image filters was biased by internalized beauty ideals and gender. Participants completed a visual detection task (forced choice paradigm) where contrast filter correction was assessed for images of male and female bodies that were thin, average, and curvaceous/muscular. Results showed that people can detect filters and that accuracy is higher when filters are applied to bodies that represent the historical beauty ideals: thin female bodies and muscular male bodies. These findings suggest that the perception of low-level image features is biased to fit internalized beliefs about beauty. 2025-07-16T14:19:01Z 2025-07-16T14:19:01Z 2024 Artículo 1069-7977 https://repositorio.uca.edu.ar/handle/123456789/20186 eng Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Cognitive Science Society Proceedings of the Annual Meeting of the Cognitive Science Society. 46, 2024.
institution	Universidad Católica Argentina
institution_str	I-33
repository_str	R-139
collection	Repositorio Institucional de la Universidad Católica Argentina (UCA)
language	Inglés
topic	REDES SOCIALES IMAGEN CORPORAL AUTOPERCEPCION IDEALES DE BELLEZA FILTROS DIGITALES INSTAGRAM
spellingShingle	REDES SOCIALES IMAGEN CORPORAL AUTOPERCEPCION IDEALES DE BELLEZA FILTROS DIGITALES INSTAGRAM Flores Bravo, Ivonnia M. Speranza, Trinidad B. Saux, Gastón I. Ramenzoni, Verónica C. Detection of image filters is biased by gender and internalized beauty ideals
topic_facet	REDES SOCIALES IMAGEN CORPORAL AUTOPERCEPCION IDEALES DE BELLEZA FILTROS DIGITALES INSTAGRAM
description	Social media has affected how we relate to our body image. Digital makeovers have both reinforced existing beauty ideals and created new ones. This project investigated whether young adults’ detection of image filters was biased by internalized beauty ideals and gender. Participants completed a visual detection task (forced choice paradigm) where contrast filter correction was assessed for images of male and female bodies that were thin, average, and curvaceous/muscular. Results showed that people can detect filters and that accuracy is higher when filters are applied to bodies that represent the historical beauty ideals: thin female bodies and muscular male bodies. These findings suggest that the perception of low-level image features is biased to fit internalized beliefs about beauty.
format	Artículo
author	Flores Bravo, Ivonnia M. Speranza, Trinidad B. Saux, Gastón I. Ramenzoni, Verónica C.
author_facet	Flores Bravo, Ivonnia M. Speranza, Trinidad B. Saux, Gastón I. Ramenzoni, Verónica C.
author_sort	Flores Bravo, Ivonnia M.
title	Detection of image filters is biased by gender and internalized beauty ideals
title_short	Detection of image filters is biased by gender and internalized beauty ideals
title_full	Detection of image filters is biased by gender and internalized beauty ideals
title_fullStr	Detection of image filters is biased by gender and internalized beauty ideals
title_full_unstemmed	Detection of image filters is biased by gender and internalized beauty ideals
title_sort	detection of image filters is biased by gender and internalized beauty ideals
publisher	Cognitive Science Society
publishDate	2025
url	https://repositorio.uca.edu.ar/handle/123456789/20186
work_keys_str_mv	AT floresbravoivonniam detectionofimagefiltersisbiasedbygenderandinternalizedbeautyideals AT speranzatrinidadb detectionofimagefiltersisbiasedbygenderandinternalizedbeautyideals AT sauxgastoni detectionofimagefiltersisbiasedbygenderandinternalizedbeautyideals AT ramenzoniveronicac detectionofimagefiltersisbiasedbygenderandinternalizedbeautyideals
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Detection of image filters is biased by gender and internalized beauty ideals

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