Gender biases and hate speech: Promoters and targets in the Argentinean political context

Autores
Domenech Burin, Laia; Pérez, Juan Manuel; Rosati, Germán Federico; Rodrigues Pires, Magalí; Nanton, María; Kozlowski, Diego
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative and qualitative tools to investigate the prevalence of hate speech targeting women politicians and analyze the role of different political affiliations in promoting such discourse. Furthermore, we propose a model that predicts users’ political alignments based on their profile descriptions, allowing us to explore the distribution of hate speech among different political orientations. Our results provide a descriptive account of the relationship between hate speech by politicians and other users and shows that right-wing political figures and supporters are strong emissors of hate speech, while women, especially those from the left-wing are more prone to receive violent content.
Fil: Domenech Burin, Laia. Ludwig Maximilians Universitat; Alemania. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina
Fil: Pérez, Juan Manuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Rosati, Germán Federico. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rodrigues Pires, Magalí. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Nanton, María. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Kozlowski, Diego. University of Montreal; Canadá
Materia
HATE SPEECH
GENDER BIAS
NLP
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:11336/263904
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Gender biases and hate speech: Promoters and targets in the Argentinean political contextDomenech Burin, LaiaPérez, Juan ManuelRosati, Germán FedericoRodrigues Pires, MagalíNanton, MaríaKozlowski, DiegoHATE SPEECHGENDER BIASNLPhttps://purl.org/becyt/ford/5.4https://purl.org/becyt/ford/5Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative and qualitative tools to investigate the prevalence of hate speech targeting women politicians and analyze the role of different political affiliations in promoting such discourse. Furthermore, we propose a model that predicts users’ political alignments based on their profile descriptions, allowing us to explore the distribution of hate speech among different political orientations. Our results provide a descriptive account of the relationship between hate speech by politicians and other users and shows that right-wing political figures and supporters are strong emissors of hate speech, while women, especially those from the left-wing are more prone to receive violent content.Fil: Domenech Burin, Laia. Ludwig Maximilians Universitat; Alemania. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; ArgentinaFil: Pérez, Juan Manuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Rosati, Germán Federico. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rodrigues Pires, Magalí. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Nanton, María. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Kozlowski, Diego. University of Montreal; CanadáPublic Library of Science2025-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/263904Domenech Burin, Laia; Pérez, Juan Manuel; Rosati, Germán Federico; Rodrigues Pires, Magalí; Nanton, María; et al.; Gender biases and hate speech: Promoters and targets in the Argentinean political context; Public Library of Science; Plos One; 20; 1; 1-2025; 1-211932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pone.0317001info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0317001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:15Zoai:ri.conicet.gov.ar:11336/263904instacron: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:34982025-09-03 09:47:15.759CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Gender biases and hate speech: Promoters and targets in the Argentinean political context
title Gender biases and hate speech: Promoters and targets in the Argentinean political context
spellingShingle Gender biases and hate speech: Promoters and targets in the Argentinean political context
Domenech Burin, Laia
HATE SPEECH
GENDER BIAS
NLP
title_short Gender biases and hate speech: Promoters and targets in the Argentinean political context
title_full Gender biases and hate speech: Promoters and targets in the Argentinean political context
title_fullStr Gender biases and hate speech: Promoters and targets in the Argentinean political context
title_full_unstemmed Gender biases and hate speech: Promoters and targets in the Argentinean political context
title_sort Gender biases and hate speech: Promoters and targets in the Argentinean political context
dc.creator.none.fl_str_mv Domenech Burin, Laia
Pérez, Juan Manuel
Rosati, Germán Federico
Rodrigues Pires, Magalí
Nanton, María
Kozlowski, Diego
author Domenech Burin, Laia
author_facet Domenech Burin, Laia
Pérez, Juan Manuel
Rosati, Germán Federico
Rodrigues Pires, Magalí
Nanton, María
Kozlowski, Diego
author_role author
author2 Pérez, Juan Manuel
Rosati, Germán Federico
Rodrigues Pires, Magalí
Nanton, María
Kozlowski, Diego
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv HATE SPEECH
GENDER BIAS
NLP
topic HATE SPEECH
GENDER BIAS
NLP
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.4
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative and qualitative tools to investigate the prevalence of hate speech targeting women politicians and analyze the role of different political affiliations in promoting such discourse. Furthermore, we propose a model that predicts users’ political alignments based on their profile descriptions, allowing us to explore the distribution of hate speech among different political orientations. Our results provide a descriptive account of the relationship between hate speech by politicians and other users and shows that right-wing political figures and supporters are strong emissors of hate speech, while women, especially those from the left-wing are more prone to receive violent content.
Fil: Domenech Burin, Laia. Ludwig Maximilians Universitat; Alemania. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina
Fil: Pérez, Juan Manuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Rosati, Germán Federico. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rodrigues Pires, Magalí. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Nanton, María. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Kozlowski, Diego. University of Montreal; Canadá
description Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative and qualitative tools to investigate the prevalence of hate speech targeting women politicians and analyze the role of different political affiliations in promoting such discourse. Furthermore, we propose a model that predicts users’ political alignments based on their profile descriptions, allowing us to explore the distribution of hate speech among different political orientations. Our results provide a descriptive account of the relationship between hate speech by politicians and other users and shows that right-wing political figures and supporters are strong emissors of hate speech, while women, especially those from the left-wing are more prone to receive violent content.
publishDate 2025
dc.date.none.fl_str_mv 2025-01
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/11336/263904
Domenech Burin, Laia; Pérez, Juan Manuel; Rosati, Germán Federico; Rodrigues Pires, Magalí; Nanton, María; et al.; Gender biases and hate speech: Promoters and targets in the Argentinean political context; Public Library of Science; Plos One; 20; 1; 1-2025; 1-21
1932-6203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/263904
identifier_str_mv Domenech Burin, Laia; Pérez, Juan Manuel; Rosati, Germán Federico; Rodrigues Pires, Magalí; Nanton, María; et al.; Gender biases and hate speech: Promoters and targets in the Argentinean political context; Public Library of Science; Plos One; 20; 1; 1-2025; 1-21
1932-6203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pone.0317001
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0317001
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 Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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 13.13397

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