A network-based positive and unlabeled learning approach for fake news detection (2022)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC ; SOUZA, MARIANA CARAVANTI DE - ICMC ; SANTOS, BRUCCE NEVES DOS - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10994-021-06111-6
- Subjects: FAKE NEWS; PROCESSAMENTO DE TEXTO; APRENDIZADO COMPUTACIONAL
- Keywords: One-class learning; Positive and unlabeled learning; Transductive semi-supervised learning; Graph-based learning; Document management
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Machine Learning
- ISSN: 0885-6125
- Volume/Número/Paginação/Ano: v. 111, n. 10, p. 3549-3592, Oct. 2022
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SOUZA, Mariana Caravanti de et al. A network-based positive and unlabeled learning approach for fake news detection. Machine Learning, v. 111, n. 10, p. 3549-3592, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10994-021-06111-6. Acesso em: 31 mar. 2026. -
APA
Souza, M. C. de, Nogueira, B. M., Rossi, R. G., Marcacini, R. M., Santos, B. N. dos, & Rezende, S. O. (2022). A network-based positive and unlabeled learning approach for fake news detection. Machine Learning, 111( 10), 3549-3592. doi:10.1007/s10994-021-06111-6 -
NLM
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Santos BN dos, Rezende SO. A network-based positive and unlabeled learning approach for fake news detection [Internet]. Machine Learning. 2022 ; 111( 10): 3549-3592.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s10994-021-06111-6 -
Vancouver
Souza MC de, Nogueira BM, Rossi RG, Marcacini RM, Santos BN dos, Rezende SO. A network-based positive and unlabeled learning approach for fake news detection [Internet]. Machine Learning. 2022 ; 111( 10): 3549-3592.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s10994-021-06111-6 - A heterogeneous network-based positive and unlabeled learning approach to detect fake news
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