Keywords attention for fake news detection using few positive labels-Reference-Cited by-同舟云学术

Keywords attention for fake news detection using few positive labels

Published:2024-03 Issue: Volume:663 Page:120300
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Caravanti de Souza Mariana^ORCID,Silva Gôlo Marcos Paulo^ORCID,Mário Guedes Jorge Alípio,Carvalho Freire de Amorim Evelin,Nuno Taborda Campos Ricardo,Marcondes Marcacini Ricardo,Oliveira Rezende Solange

Funder

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fundação para a Ciência e a Tecnologia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Reference50 articles.

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2. Robust semi-supervised fake news recognition by effective augmentations and ensemble of diverse deep learners;Al Obaid;IEEE Access,2023

3. Yake! Keyword extraction from single documents using multiple local features;Campos;Inf. Sci.,2020

4. Content based fake news detection with machine and deep learning: a systematic review;Capuano;Neurocomputing,2023

5. Intra-graph and inter-graph joint information propagation network with third-order text graph tensor for fake news detection;Cui;Appl. Intell.,2023

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1. A Survey on the Use of Large Language Models (LLMs) in Fake News;Future Internet;2024-08-19

2. A Blockchain-based and AI-Endorsed Mechanism to Support Social Networks on Fake News Containment;Anais do XIII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2024);2024-07-21