Image representations of the body: an analysis in the Google Images search engine
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/21177 |
Resumo: | Objective: To analyze the imagery representation of the body on the internet. Methodology: With an exploratory-descriptive nature and a quali-quantitative approach, Semiotic Analysis was adopted, based on the theoretical assumptions of Bauer and Gaskell, respecting the methodological stages suggested by the authors: Choice of images; Denotative inventory; Analysis of the levels of meaning. In the first stage, the first 100 images from Google Images were collected, in a cross-section, on December 27, 2020, using the keyword: body. After applying the exclusion criteria, 42 images were selected. Results: The difference between the incidence of genders was significant, with males being present in 14.2% (n = 6) of the images and females in 85.8% (n = 36). According to the morphological profile of the sample, two images classified as out of the stereotyped pattern were identified, while the other photos (95.3%) referred to bodies that fit the stereotyped pattern, that is, that follow the media model of thinness. Still, seeking to identify the representation of the images, the emphasis given to aesthetics is highlighted (n = 31), to the detriment of images related to health (n = 7). Final considerations: The imagery representation of the virtual media presented in the sample shows the desired body as that predominantly female. In addition to the predominance of one gender, this body has specific morphological characteristics, and among women it is related to thinness and among men to a muscular body. |
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Image representations of the body: an analysis in the Google Images search engineRepresentaciones de imágenes del cuerpo: un análisis en el motor de búsqueda de Google ImágenesRepresentações imagéticas do corpo: uma análise no buscador Google ImagensRepresentaciones socialesRepresentación de imágenesFotografíaEstéticaCuerpo femenino.Representações SociaisRepresentação imagéticaFotografiaEstéticaCorpo feminino.Social RepresentationsImage representationPhotographyAestheticsFeminine body.Objective: To analyze the imagery representation of the body on the internet. Methodology: With an exploratory-descriptive nature and a quali-quantitative approach, Semiotic Analysis was adopted, based on the theoretical assumptions of Bauer and Gaskell, respecting the methodological stages suggested by the authors: Choice of images; Denotative inventory; Analysis of the levels of meaning. In the first stage, the first 100 images from Google Images were collected, in a cross-section, on December 27, 2020, using the keyword: body. After applying the exclusion criteria, 42 images were selected. Results: The difference between the incidence of genders was significant, with males being present in 14.2% (n = 6) of the images and females in 85.8% (n = 36). According to the morphological profile of the sample, two images classified as out of the stereotyped pattern were identified, while the other photos (95.3%) referred to bodies that fit the stereotyped pattern, that is, that follow the media model of thinness. Still, seeking to identify the representation of the images, the emphasis given to aesthetics is highlighted (n = 31), to the detriment of images related to health (n = 7). Final considerations: The imagery representation of the virtual media presented in the sample shows the desired body as that predominantly female. In addition to the predominance of one gender, this body has specific morphological characteristics, and among women it is related to thinness and among men to a muscular body.Objetivo: Analizar la representación de imágenes del cuerpo en internet. Metodología: Con un carácter exploratorio-descriptivo y un enfoque cuali-cuantitativo, se adoptó el Análisis Semiótico, basado en los supuestos teóricos de Bauer y Gaskell, respetando las etapas metodológicas sugeridas por los autores: Elección de imágenes; Inventario denotativo; Análisis de los niveles de significado. En una primera etapa, se recolectaron las primeras 100 imágenes de Google Imágenes, en corte transversal, el 27 de diciembre de 2020, utilizando la palabra clave: cuerpo. Tras aplicar los criterios de exclusión, se seleccionaron 42 imágenes. Resultados: La diferencia entre la incidencia de géneros fue significativa, con hombres presentes en el 14,2% (n = 6) de las imágenes y mujeres en el 85,8% (n = 36). Según el perfil morfológico de la muestra, se identificaron dos imágenes clasificadas como fuera del patrón estereotipado, mientras que las otras fotos (95,3%) se referían a cuerpos que se ajustan al patrón estereotipado, es decir, que siguen el modelo mediático de delgadez. Aún así, buscando identificar la representación de las imágenes, se destaca el énfasis que se le da a la estética (n = 31), en detrimento de las imágenes relacionadas con la salud (n = 7). Consideraciones finales: La representación de imágenes de los medios virtuales presentados en la muestra muestra el cuerpo deseado como predominantemente femenino. Además del predominio de un género, este cuerpo tiene características morfológicas específicas, estando relacionado con la delgadez en las mujeres y un cuerpo musculoso en los hombres.Objetivo: Analisar a representação imagética do corpo no buscador Google Imagens. Metodologia: De natureza exploratória-descritiva e abordagem quali-quantitativa, adotou-se a Análise Semiótica, fundamentada nos pressupostos teóricos de Bauer e Gaskell, respeitando os estágios metodológicos, sugeridos pelos autores: Escolha de imagens; Inventário denotativo; Análise dos níveis de significação. No primeiro estágio, foram coletadas as 100 primeiras imagens do Google Imagens, em um corte transversal, no dia 27 de dezembro de 2020, tendo como palavra-chave: corpo. Após aplicados os critérios de exclusão, foram selecionadas 42 imagens. Resultados: A diferença entre a incidência dos gêneros foi significativa, sendo o gênero masculino presente em 14,2% (n = 6) das imagens e o feminino em 85,8% (n = 36). De acordo com o perfil estético da amostra, foram identificadas duas imagens classificadas como fora do padrão estereotipado, enquanto as demais fotos (95,3%) faziam referência a corpos que se encaixam no padrão estereotipado, ou seja, que acompanham o modelo midiático de magreza. Ainda, buscando identificar a representação das imagens, evidencia-se o destaque dado a estética (n = 31), em detrimento de imagens relacionadas a saúde (n = 7). Considerações finais: A representação imagética da mídia virtual apresentada na amostra, evidencia o corpo desejado como aquele predominantemente feminino. Além da predominância de um gênero, este corpo apresenta características morfológicas específicas, sendo entre as mulheres relacionado a magreza e entre os homens a um corpo musculoso.Research, Society and Development2021-11-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2117710.33448/rsd-v10i14.21177Research, Society and Development; Vol. 10 No. 14; e375101421177Research, Society and Development; Vol. 10 Núm. 14; e375101421177Research, Society and Development; v. 10 n. 14; e3751014211772525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/21177/19687Copyright (c) 2021 Thiago de Sousa Rosa; Moisés Augusto de Oliveira Borges; Laryssa Rangel Guerra; Joyce da Silva Heinze; Ricardo Ruffoni; Denis Giovani Monteiro Naiffhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRosa, Thiago de Sousa Borges, Moisés Augusto de Oliveira Guerra, Laryssa RangelHeinze, Joyce da SilvaRuffoni, RicardoNaiff, Denis Giovani Monteiro 2021-12-04T11:48:39Zoai:ojs.pkp.sfu.ca:article/21177Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:40:39.464969Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Image representations of the body: an analysis in the Google Images search engine Representaciones de imágenes del cuerpo: un análisis en el motor de búsqueda de Google Imágenes Representações imagéticas do corpo: uma análise no buscador Google Imagens |
title |
Image representations of the body: an analysis in the Google Images search engine |
spellingShingle |
Image representations of the body: an analysis in the Google Images search engine Rosa, Thiago de Sousa Representaciones sociales Representación de imágenes Fotografía Estética Cuerpo femenino. Representações Sociais Representação imagética Fotografia Estética Corpo feminino. Social Representations Image representation Photography Aesthetics Feminine body. |
title_short |
Image representations of the body: an analysis in the Google Images search engine |
title_full |
Image representations of the body: an analysis in the Google Images search engine |
title_fullStr |
Image representations of the body: an analysis in the Google Images search engine |
title_full_unstemmed |
Image representations of the body: an analysis in the Google Images search engine |
title_sort |
Image representations of the body: an analysis in the Google Images search engine |
author |
Rosa, Thiago de Sousa |
author_facet |
Rosa, Thiago de Sousa Borges, Moisés Augusto de Oliveira Guerra, Laryssa Rangel Heinze, Joyce da Silva Ruffoni, Ricardo Naiff, Denis Giovani Monteiro |
author_role |
author |
author2 |
Borges, Moisés Augusto de Oliveira Guerra, Laryssa Rangel Heinze, Joyce da Silva Ruffoni, Ricardo Naiff, Denis Giovani Monteiro |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rosa, Thiago de Sousa Borges, Moisés Augusto de Oliveira Guerra, Laryssa Rangel Heinze, Joyce da Silva Ruffoni, Ricardo Naiff, Denis Giovani Monteiro |
dc.subject.por.fl_str_mv |
Representaciones sociales Representación de imágenes Fotografía Estética Cuerpo femenino. Representações Sociais Representação imagética Fotografia Estética Corpo feminino. Social Representations Image representation Photography Aesthetics Feminine body. |
topic |
Representaciones sociales Representación de imágenes Fotografía Estética Cuerpo femenino. Representações Sociais Representação imagética Fotografia Estética Corpo feminino. Social Representations Image representation Photography Aesthetics Feminine body. |
description |
Objective: To analyze the imagery representation of the body on the internet. Methodology: With an exploratory-descriptive nature and a quali-quantitative approach, Semiotic Analysis was adopted, based on the theoretical assumptions of Bauer and Gaskell, respecting the methodological stages suggested by the authors: Choice of images; Denotative inventory; Analysis of the levels of meaning. In the first stage, the first 100 images from Google Images were collected, in a cross-section, on December 27, 2020, using the keyword: body. After applying the exclusion criteria, 42 images were selected. Results: The difference between the incidence of genders was significant, with males being present in 14.2% (n = 6) of the images and females in 85.8% (n = 36). According to the morphological profile of the sample, two images classified as out of the stereotyped pattern were identified, while the other photos (95.3%) referred to bodies that fit the stereotyped pattern, that is, that follow the media model of thinness. Still, seeking to identify the representation of the images, the emphasis given to aesthetics is highlighted (n = 31), to the detriment of images related to health (n = 7). Final considerations: The imagery representation of the virtual media presented in the sample shows the desired body as that predominantly female. In addition to the predominance of one gender, this body has specific morphological characteristics, and among women it is related to thinness and among men to a muscular body. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/21177 10.33448/rsd-v10i14.21177 |
url |
https://rsdjournal.org/index.php/rsd/article/view/21177 |
identifier_str_mv |
10.33448/rsd-v10i14.21177 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/21177/19687 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 14; e375101421177 Research, Society and Development; Vol. 10 Núm. 14; e375101421177 Research, Society and Development; v. 10 n. 14; e375101421177 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052756678148096 |