Gender bias in magazines oriented to men and women: a computational approach

Autores
Diego Kozlowski; Lozano Rubello, Gabriela; Felcher, Carla María; Gonzalez, Fernando; Altszyler Lemcovich, Edgar Jaim
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time. Then, we performed a word-frequency analysis to validate this methodology andextend the analysis to other subjects that did not emerge automatically. Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences between both magazines are maintained. Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time. Also, we show a strong increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Overall, these computational tools allowed us to analyse more than 24,000 articles. Up to our knowledge, this is the first study to compare magazines in such a large dataset, a task that would have been prohibitive using manual content analysis methodologies.
Fil: Diego Kozlowski. University of Luxembourg; Luxemburgo
Fil: Lozano Rubello, Gabriela. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto Interdisciplinario de Estudios de Género; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Felcher, Carla María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Gonzalez, Fernando. Universidad de Buenos Aires; Argentina
Fil: Altszyler Lemcovich, Edgar Jaim. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Materia
Magazines
Natural Language Processing
Digital Humanities
Gender bias
Computational Social Science
Topic Modelling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/142331
Acceder
id CONICETDig_7bef4d60097b120c6be9de8eb07cf7ac
oai_identifier_str oai:ri.conicet.gov.ar:11336/142331
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Gender bias in magazines oriented to men and women: a computational approachDiego KozlowskiLozano Rubello, GabrielaFelcher, Carla MaríaGonzalez, FernandoAltszyler Lemcovich, Edgar JaimMagazinesNatural Language ProcessingDigital HumanitiesGender biasComputational Social ScienceTopic Modellinghttps://purl.org/becyt/ford/5.4https://purl.org/becyt/ford/5https://purl.org/becyt/ford/5.8https://purl.org/becyt/ford/5https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time. Then, we performed a word-frequency analysis to validate this methodology andextend the analysis to other subjects that did not emerge automatically. Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences between both magazines are maintained. Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time. Also, we show a strong increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Overall, these computational tools allowed us to analyse more than 24,000 articles. Up to our knowledge, this is the first study to compare magazines in such a large dataset, a task that would have been prohibitive using manual content analysis methodologies.Fil: Diego Kozlowski. University of Luxembourg; LuxemburgoFil: Lozano Rubello, Gabriela. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto Interdisciplinario de Estudios de Género; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Felcher, Carla María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Gonzalez, Fernando. Universidad de Buenos Aires; ArgentinaFil: Altszyler Lemcovich, Edgar Jaim. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaArXiv2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142331Diego Kozlowski; Lozano Rubello, Gabriela; Felcher, Carla María; Gonzalez, Fernando; Altszyler Lemcovich, Edgar Jaim; Gender bias in magazines oriented to men and women: a computational approach; ArXiv; ArXiv; 2020; 11-2020; 1-292331-8422CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/pdf/2011.12096.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:49Zoai:ri.conicet.gov.ar:11336/142331instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:15:49.427CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Gender bias in magazines oriented to men and women: a computational approach
title Gender bias in magazines oriented to men and women: a computational approach
spellingShingle Gender bias in magazines oriented to men and women: a computational approach
Diego Kozlowski
Magazines
Natural Language Processing
Digital Humanities
Gender bias
Computational Social Science
Topic Modelling
title_short Gender bias in magazines oriented to men and women: a computational approach
title_full Gender bias in magazines oriented to men and women: a computational approach
title_fullStr Gender bias in magazines oriented to men and women: a computational approach
title_full_unstemmed Gender bias in magazines oriented to men and women: a computational approach
title_sort Gender bias in magazines oriented to men and women: a computational approach
dc.creator.none.fl_str_mv Diego Kozlowski
Lozano Rubello, Gabriela
Felcher, Carla María
Gonzalez, Fernando
Altszyler Lemcovich, Edgar Jaim
author Diego Kozlowski
author_facet Diego Kozlowski
Lozano Rubello, Gabriela
Felcher, Carla María
Gonzalez, Fernando
Altszyler Lemcovich, Edgar Jaim
author_role author
author2 Lozano Rubello, Gabriela
Felcher, Carla María
Gonzalez, Fernando
Altszyler Lemcovich, Edgar Jaim
author2_role author
author
author
author
dc.subject.none.fl_str_mv Magazines
Natural Language Processing
Digital Humanities
Gender bias
Computational Social Science
Topic Modelling
topic Magazines
Natural Language Processing
Digital Humanities
Gender bias
Computational Social Science
Topic Modelling
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.4
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/5.8
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time. Then, we performed a word-frequency analysis to validate this methodology andextend the analysis to other subjects that did not emerge automatically. Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences between both magazines are maintained. Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time. Also, we show a strong increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Overall, these computational tools allowed us to analyse more than 24,000 articles. Up to our knowledge, this is the first study to compare magazines in such a large dataset, a task that would have been prohibitive using manual content analysis methodologies.
Fil: Diego Kozlowski. University of Luxembourg; Luxemburgo
Fil: Lozano Rubello, Gabriela. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto Interdisciplinario de Estudios de Género; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Felcher, Carla María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Gonzalez, Fernando. Universidad de Buenos Aires; Argentina
Fil: Altszyler Lemcovich, Edgar Jaim. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
description Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With Topic Modelling techniques we identify the main themes discussed in the magazines and quantify how much the presence of these topics differs between magazines over time. Then, we performed a word-frequency analysis to validate this methodology andextend the analysis to other subjects that did not emerge automatically. Our results show that the frequency of appearance of the topics Family, Business and Women as sex objects, present an initial bias that tends to disappear over time. Conversely, in Fashion and Science topics, the initial differences between both magazines are maintained. Besides, we show that in 2012, the content associated with horoscope increased in the women-oriented magazine, generating a new gap that remained open over time. Also, we show a strong increase in the use of words associated with feminism since 2015 and specifically the word abortion in 2018. Overall, these computational tools allowed us to analyse more than 24,000 articles. Up to our knowledge, this is the first study to compare magazines in such a large dataset, a task that would have been prohibitive using manual content analysis methodologies.
publishDate 2020
dc.date.none.fl_str_mv 2020-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/142331
Diego Kozlowski; Lozano Rubello, Gabriela; Felcher, Carla María; Gonzalez, Fernando; Altszyler Lemcovich, Edgar Jaim; Gender bias in magazines oriented to men and women: a computational approach; ArXiv; ArXiv; 2020; 11-2020; 1-29
2331-8422
CONICET Digital
CONICET
url http://hdl.handle.net/11336/142331
identifier_str_mv Diego Kozlowski; Lozano Rubello, Gabriela; Felcher, Carla María; Gonzalez, Fernando; Altszyler Lemcovich, Edgar Jaim; Gender bias in magazines oriented to men and women: a computational approach; ArXiv; ArXiv; 2020; 11-2020; 1-29
2331-8422
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/pdf/2011.12096.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ArXiv
publisher.none.fl_str_mv ArXiv
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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