Socially responsible hate speech detection: can classifiers reflect social stereotypes? (2023)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC ; CARVALHO, ISABELLE - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; APRENDIZADO COMPUTACIONAL; ÓDIO; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- ISSN: 2603-2813
- Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP
-
ABNT
VARGAS, Francielle Alves et al. Socially responsible hate speech detection: can classifiers reflect social stereotypes? 2023, Anais.. Shoumen: INCOMA, 2023. Disponível em: http://ranlp.org/ranlp2023/index.php/proceedings/. Acesso em: 03 jun. 2024. -
APA
Vargas, F. A., Carvalho, I., Hürriyetoǧlu, A., Pardo, T. A. S., & Benevenuto, F. (2023). Socially responsible hate speech detection: can classifiers reflect social stereotypes? In Proceedings. Shoumen: INCOMA. Recuperado de http://ranlp.org/ranlp2023/index.php/proceedings/ -
NLM
Vargas FA, Carvalho I, Hürriyetoǧlu A, Pardo TAS, Benevenuto F. Socially responsible hate speech detection: can classifiers reflect social stereotypes? [Internet]. Proceedings. 2023 ;[citado 2024 jun. 03 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ -
Vancouver
Vargas FA, Carvalho I, Hürriyetoǧlu A, Pardo TAS, Benevenuto F. Socially responsible hate speech detection: can classifiers reflect social stereotypes? [Internet]. Proceedings. 2023 ;[citado 2024 jun. 03 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ - NoHateBrazil: a brazilian portuguese text offensiveness analysis system
- HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection
- Contextual-lexicon approach for abusive language detection
- Rhetorical structure approach for online deception detection: a survey
- Toward discourse-aware models for multilingual fake news detection
- Aspect clustering for sentiment analysis
- Studying dishonest intentions in brazilian portuguese texts
- Linguistic rules for fine-grained opinion extraction
- Predicting sentence-level factuality of news and bias of media outlets
- Estudo do risco de óbito por meio da análise de comorbidade nos pacientes internados nos hospitais gerais do DRS XIII em 2011
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3153887.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
