Predicting sentence-level factuality of news and bias of media outlets (2023)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; FAKE NEWS; PORTUGUÊS DO BRASIL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 2603-2813
- Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP
-
ABNT
VARGAS, Francielle Alves et al. Predicting sentence-level factuality of news and bias of media outlets. 2023, Anais.. Shoumen: INCOMA, 2023. Disponível em: http://ranlp.org/ranlp2023/index.php/proceedings/. Acesso em: 26 dez. 2025. -
APA
Vargas, F. A., Jaidka, K., Pardo, T. A. S., & Benevenuto, F. (2023). Predicting sentence-level factuality of news and bias of media outlets. In Proceedings. Shoumen: INCOMA. Recuperado de http://ranlp.org/ranlp2023/index.php/proceedings/ -
NLM
Vargas FA, Jaidka K, Pardo TAS, Benevenuto F. Predicting sentence-level factuality of news and bias of media outlets [Internet]. Proceedings. 2023 ;[citado 2025 dez. 26 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ -
Vancouver
Vargas FA, Jaidka K, Pardo TAS, Benevenuto F. Predicting sentence-level factuality of news and bias of media outlets [Internet]. Proceedings. 2023 ;[citado 2025 dez. 26 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/ - Context-aware and expert data resources for brazilian portuguese hate speech detection
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