Learning textual representations from multiple modalities to detect fake news through one-class learning (2021)
- Authors:
- USP affiliated authors: REZENDE, SOLANGE OLIVEIRA - ICMC ; MARCACINI, RICARDO MARCONDES - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC ; SOUZA, MARIANA CARAVANTI DE - ICMC
- Unidade: ICMC
- DOI: 10.1145/3470482.3479634
- Subjects: APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; FAKE NEWS
- Keywords: One-Class Classification; Fake News Classification; Multimodal Variational Autoencoder; One-Class Fake News Classification
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GÔLO, Marcos Paulo Silva et al. Learning textual representations from multiple modalities to detect fake news through one-class learning. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3470482.3479634. Acesso em: 23 maio 2024. -
APA
Gôlo, M. P. S., Caravanti, M., Rossi, R. G., Rezende, S. O., Nogueira, B., & Marcacini, R. M. (2021). Learning textual representations from multiple modalities to detect fake news through one-class learning. In Proceedings. New York: ACM. doi:10.1145/3470482.3479634 -
NLM
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1145/3470482.3479634 -
Vancouver
Gôlo MPS, Caravanti M, Rossi RG, Rezende SO, Nogueira B, Marcacini RM. Learning textual representations from multiple modalities to detect fake news through one-class learning [Internet]. Proceedings. 2021 ;[citado 2024 maio 23 ] Available from: https://doi.org/10.1145/3470482.3479634 - Keywords attention for fake news detection using few positive labels
- One-class learning for fake news detection through multimodal variational autoencoders
- A heterogeneous network-based positive and unlabeled learning approach to detect fake news
- Learning to sense from events via semantic variational autoencoder
- Triple-VAE: a triple variational autoencoder to represent events in one-class event detection
- A network-based positive and unlabeled learning approach for fake news detection
- Text representation through multimodal variational autoencoder for one-class learning
- Text representation through multimodal variational autoencoder for one-class learning
- Mineração de textos e semântica: desafios, abordagens e aplicações
- Uso da mineração de textos na análise exploratória de artigos científicos
Informações sobre o DOI: 10.1145/3470482.3479634 (Fonte: oaDOI API)
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