Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.17645/pag.v11i2.6302 |
Resumo: | Hate speech has been seen as a problem within democratic societies that has been exacerbated by social media. While platforms claim to moderate content, this proves impossible. Studying popular platforms in the UK and Spain and examining content within community pages dedicated to right-wing parties, we use framing analysis to identify the predominant frames in user comments that contained hate speech against migrants. Our research demonstrates a frequent use of arguments that encourage xenophobic and discriminatory attitudes to flourish. Specifically, we find that immigrants are commonly framed as potential criminals, people who steal resources and erode norms of the dominant culture and traditions. The fact that these frames are commonly used is worrying and indicates xenophobic attitudes exist within both societies under study. However, it is difficult to imagine regulatory systems that would prevent these attitudes from being expressed. Rather, we argue that it is more important to focus on correcting the conditions that cause such attitudes to take hold within a society. |
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Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spainextremism; far‐right parties; hate speech; immigration; social media; Spain; UKHate speech has been seen as a problem within democratic societies that has been exacerbated by social media. While platforms claim to moderate content, this proves impossible. Studying popular platforms in the UK and Spain and examining content within community pages dedicated to right-wing parties, we use framing analysis to identify the predominant frames in user comments that contained hate speech against migrants. Our research demonstrates a frequent use of arguments that encourage xenophobic and discriminatory attitudes to flourish. Specifically, we find that immigrants are commonly framed as potential criminals, people who steal resources and erode norms of the dominant culture and traditions. The fact that these frames are commonly used is worrying and indicates xenophobic attitudes exist within both societies under study. However, it is difficult to imagine regulatory systems that would prevent these attitudes from being expressed. Rather, we argue that it is more important to focus on correcting the conditions that cause such attitudes to take hold within a society.Cogitatio Press2023-05-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/pag.v11i2.6302https://doi.org/10.17645/pag.v11i2.6302Politics and Governance; Vol 11, No 2 (2023): Hate Speech, Demonization, Polarization, and Political Social Responsibility; 127-1372183-2463reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.cogitatiopress.com/politicsandgovernance/article/view/6302https://www.cogitatiopress.com/politicsandgovernance/article/view/6302/6302Copyright (c) 2023 Darren Lilleker, Marta Pérez-Escolarinfo:eu-repo/semantics/openAccessLilleker, DarrenPérez-Escolar, Marta2023-08-31T15:15:21Zoai:ojs.cogitatiopress.com:article/6302Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:54:07.926150Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
title |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
spellingShingle |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain Lilleker, Darren extremism; far‐right parties; hate speech; immigration; social media; Spain; UK |
title_short |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
title_full |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
title_fullStr |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
title_full_unstemmed |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
title_sort |
Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain |
author |
Lilleker, Darren |
author_facet |
Lilleker, Darren Pérez-Escolar, Marta |
author_role |
author |
author2 |
Pérez-Escolar, Marta |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Lilleker, Darren Pérez-Escolar, Marta |
dc.subject.por.fl_str_mv |
extremism; far‐right parties; hate speech; immigration; social media; Spain; UK |
topic |
extremism; far‐right parties; hate speech; immigration; social media; Spain; UK |
description |
Hate speech has been seen as a problem within democratic societies that has been exacerbated by social media. While platforms claim to moderate content, this proves impossible. Studying popular platforms in the UK and Spain and examining content within community pages dedicated to right-wing parties, we use framing analysis to identify the predominant frames in user comments that contained hate speech against migrants. Our research demonstrates a frequent use of arguments that encourage xenophobic and discriminatory attitudes to flourish. Specifically, we find that immigrants are commonly framed as potential criminals, people who steal resources and erode norms of the dominant culture and traditions. The fact that these frames are commonly used is worrying and indicates xenophobic attitudes exist within both societies under study. However, it is difficult to imagine regulatory systems that would prevent these attitudes from being expressed. Rather, we argue that it is more important to focus on correcting the conditions that cause such attitudes to take hold within a society. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-17 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.17645/pag.v11i2.6302 https://doi.org/10.17645/pag.v11i2.6302 |
url |
https://doi.org/10.17645/pag.v11i2.6302 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.cogitatiopress.com/politicsandgovernance/article/view/6302 https://www.cogitatiopress.com/politicsandgovernance/article/view/6302/6302 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Darren Lilleker, Marta Pérez-Escolar info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Darren Lilleker, Marta Pérez-Escolar |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Cogitatio Press |
publisher.none.fl_str_mv |
Cogitatio Press |
dc.source.none.fl_str_mv |
Politics and Governance; Vol 11, No 2 (2023): Hate Speech, Demonization, Polarization, and Political Social Responsibility; 127-137 2183-2463 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131614293262336 |