Keywords attention for fake news detection using few positive labels (2024)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC ; SOUZA, MARIANA CARAVANTI DE - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.ins.2024.120300
- Subjects: APRENDIZADO COMPUTACIONAL; FAKE NEWS
- Keywords: Fake news detection; Positive and unlabeled learning; Keywords; Graph attention networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Information Sciences
- ISSN: 0020-0255
- Volume/Número/Paginação/Ano: v. 663, p. 1-23, Mar. 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SOUZA, Mariana Caravanti de et al. Keywords attention for fake news detection using few positive labels. Information Sciences, v. 663, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2024.120300. Acesso em: 24 dez. 2025. -
APA
Souza, M. C. de, Gôlo, M. P. S., Jorge, A. M. G., Amorim, E. C. F. de, Campos, R. N. T., Marcacini, R. M., & Rezende, S. O. (2024). Keywords attention for fake news detection using few positive labels. Information Sciences, 663, 1-23. doi:10.1016/j.ins.2024.120300 -
NLM
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1016/j.ins.2024.120300 -
Vancouver
Souza MC de, Gôlo MPS, Jorge AMG, Amorim ECF de, Campos RNT, Marcacini RM, Rezende SO. Keywords attention for fake news detection using few positive labels [Internet]. Information Sciences. 2024 ; 663 1-23.[citado 2025 dez. 24 ] Available from: https://doi.org/10.1016/j.ins.2024.120300 - One-class learning for fake news detection through multimodal variational autoencoders
- Learning textual representations from multiple modalities to detect fake news through one-class learning
- A heterogeneous network-based positive and unlabeled learning approach to detect fake news
- How do financial time series enhance the detection of news significance in market movements?: A study using graph neural networks with heterogeneous representations
- One-class edge classification through heterogeneous hypergraph for causal discovery
- Learning to sense from events via semantic variational autoencoder
- Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models
- One-class learning for data stream through graph neural networks
- 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
Informações sobre o DOI: 10.1016/j.ins.2024.120300 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3180748.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
