A network-based positive and unlabeled learning approach for fake news detection

Fake news can rapidly spread through internet users and can deceive a large audience. Due to those characteristics, they can have a direct impact on political and economic events. Machine Learning approaches have been used to assist fake news identification. However, since the spectrum of real news...

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Detalles Bibliográficos
Autores principales: de Souza, Mariana Caravanti, Nogueira, Bruno Magalhães, Rossi, Rafael Geraldeli, Marcacini, Ricardo Marcondes, dos Santos, Brucce Neves, Rezende, Solange Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601374/
https://www.ncbi.nlm.nih.gov/pubmed/34815619
http://dx.doi.org/10.1007/s10994-021-06111-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601374/
https://www.ncbi.nlm.nih.gov/pubmed/34815619
http://dx.doi.org/10.1007/s10994-021-06111-6

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