Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/25976 |
Resumo: | This paper introduces FIGHT, a dataset containing 63,450 tweets, posted before and after the official declaration of Covid-19 as a pandemic by online users in Portugal. This resource aims at contributing to the analysis of online hate speech targeting the most representative minorities in Portugal, namely the African descent and the Roma communities, and the LGBTQ+ community, the most commonly reported target of hate speech in social media at the European context. We present the methods for collecting the data, and provide insightful statistics on the distribution of tweets included in FIGHT, considering both the temporal and spatial dimensions. We also analyze the availability over time of tweets targeting the aforementioned communities, distinguishing public, private, and deleted tweets. We believe this study will contribute to better understand the dynamics of online hate speech in Portugal, particularly in adverse contexts, such as a pandemic outbreak, allowing the development of more informed and accurate hate speech resources for Portuguese. |
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Hate speech dynamics against African descent, Roma and LGBTQ+ communities in PortugalHate speechOffensive speechTwitterThis paper introduces FIGHT, a dataset containing 63,450 tweets, posted before and after the official declaration of Covid-19 as a pandemic by online users in Portugal. This resource aims at contributing to the analysis of online hate speech targeting the most representative minorities in Portugal, namely the African descent and the Roma communities, and the LGBTQ+ community, the most commonly reported target of hate speech in social media at the European context. We present the methods for collecting the data, and provide insightful statistics on the distribution of tweets included in FIGHT, considering both the temporal and spatial dimensions. We also analyze the availability over time of tweets targeting the aforementioned communities, distinguishing public, private, and deleted tweets. We believe this study will contribute to better understand the dynamics of online hate speech in Portugal, particularly in adverse contexts, such as a pandemic outbreak, allowing the development of more informed and accurate hate speech resources for Portuguese.European Language Resources Association (ELRA2022-08-02T15:24:44Z2022-01-01T00:00:00Z20222022-08-02T16:29:01Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/25976eng979-10-95546-72-6Carvalho, P.Matos, B.Santos, R.Batista, F.Ribeiro, R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-07-07T02:38:43Zoai:repositorio.iscte-iul.pt:10071/25976Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T02:38:43Repositório 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 |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
title |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
spellingShingle |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal Carvalho, P. Hate speech Offensive speech |
title_short |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
title_full |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
title_fullStr |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
title_full_unstemmed |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
title_sort |
Hate speech dynamics against African descent, Roma and LGBTQ+ communities in Portugal |
author |
Carvalho, P. |
author_facet |
Carvalho, P. Matos, B. Santos, R. Batista, F. Ribeiro, R. |
author_role |
author |
author2 |
Matos, B. Santos, R. Batista, F. Ribeiro, R. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Carvalho, P. Matos, B. Santos, R. Batista, F. Ribeiro, R. |
dc.subject.por.fl_str_mv |
Hate speech Offensive speech |
topic |
Hate speech Offensive speech |
description |
This paper introduces FIGHT, a dataset containing 63,450 tweets, posted before and after the official declaration of Covid-19 as a pandemic by online users in Portugal. This resource aims at contributing to the analysis of online hate speech targeting the most representative minorities in Portugal, namely the African descent and the Roma communities, and the LGBTQ+ community, the most commonly reported target of hate speech in social media at the European context. We present the methods for collecting the data, and provide insightful statistics on the distribution of tweets included in FIGHT, considering both the temporal and spatial dimensions. We also analyze the availability over time of tweets targeting the aforementioned communities, distinguishing public, private, and deleted tweets. We believe this study will contribute to better understand the dynamics of online hate speech in Portugal, particularly in adverse contexts, such as a pandemic outbreak, allowing the development of more informed and accurate hate speech resources for Portuguese. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-02T15:24:44Z 2022-01-01T00:00:00Z 2022 2022-08-02T16:29:01Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/25976 |
url |
http://hdl.handle.net/10071/25976 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
979-10-95546-72-6 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
European Language Resources Association (ELRA |
publisher.none.fl_str_mv |
European Language Resources Association (ELRA |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
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 |
mluisa.alvim@gmail.com |
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1817546284395921408 |