Measuring the impact of readability features in fake news Detection (2020)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; SANTOS, RONEY LIRA DE SALES - ICMC ; LEAL, SIDNEY EVALDO - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; LINGUÍSTICA COMPUTACIONAL; NOTÍCIA; PORTUGUÊS DO BRASIL
- Keywords: Fake news; Readability Assessment
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: European Language Resources Association
- Publisher place: Paris
- Date published: 2020
- Source:
- Título do periódico: Proceedings
- Conference titles: Conference on Language Resources and Evaluation - LREC
-
ABNT
SANTOS, Roney Lira de Sales et al. Measuring the impact of readability features in fake news Detection. 2020, Anais.. Paris: European Language Resources Association, 2020. Disponível em: https://www.aclweb.org/anthology/2020.lrec-1.176. Acesso em: 01 maio 2024. -
APA
Santos, R. L. de S., Wick-Pedro, G., Leal, S. E., Vale, O. A., Pardo, T. A. S., Bontcheva, K., & Scarton, C. E. (2020). Measuring the impact of readability features in fake news Detection. In Proceedings. Paris: European Language Resources Association. Recuperado de https://www.aclweb.org/anthology/2020.lrec-1.176 -
NLM
Santos RL de S, Wick-Pedro G, Leal SE, Vale OA, Pardo TAS, Bontcheva K, Scarton CE. Measuring the impact of readability features in fake news Detection [Internet]. Proceedings. 2020 ;[citado 2024 maio 01 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.176 -
Vancouver
Santos RL de S, Wick-Pedro G, Leal SE, Vale OA, Pardo TAS, Bontcheva K, Scarton CE. Measuring the impact of readability features in fake news Detection [Internet]. Proceedings. 2020 ;[citado 2024 maio 01 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.176 - Linguistic analysis model for monitoring user reaction on satirical news for brazilian portuguese
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