HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection (2022)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC ; CARVALHO, ISABELLE - ICMC ; GÓES, FABIANA RODRIGUES DE - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; CORPUS; MÍDIAS SOCIAIS; ÓDIO; PORTUGUÊS DO BRASIL
- Keywords: hate speech and offensive language detection; corpus annotation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: European Language Resources Association - ELRA
- Publisher place: Paris
- Date published: 2022
- Source:
- Título: Proceedings
- Conference titles: Conference on Language Resources and Evaluation - LREC
-
ABNT
VARGAS, Francielle Alves et al. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf. Acesso em: 12 fev. 2026. -
APA
Vargas, F. A., Carvalho, I., Goes, F. R. de, Pardo, T. A. S., & Benevenuto, F. (2022). HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf -
NLM
Vargas FA, Carvalho I, Goes FR de, Pardo TAS, Benevenuto F. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection [Internet]. Proceedings. 2022 ;[citado 2026 fev. 12 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf -
Vancouver
Vargas FA, Carvalho I, Goes FR de, Pardo TAS, Benevenuto F. HateBR: a large expert annotated corpus of brazilian Instagram comments for offensive language and hate speech detection [Internet]. Proceedings. 2022 ;[citado 2026 fev. 12 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.777.pdf - Contextual-lexicon approach for abusive language detection
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- Discourse annotation guideline for low-resource languages
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