Predicting sentence-level factuality of news and bias of media outlets (2023)
Source: Proceedings. Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, FAKE NEWS, PORTUGUÊS DO BRASIL
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: 14 nov. 2024.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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: http://ranlp.org/ranlp2023/index.php/proceedings/