Meta-learning for fake news detection surrounding the Syrian war

In this article, we pursue the automatic detection of fake news reporting on the Syrian war using machine learning and meta-learning. The proposed approach is based on a suite of features that include a given article's linguistic style; its level of subjectivity, sensationalism, and sectarianis...

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Detalles Bibliográficos
Autores principales: Abu Salem, Fatima K., Al Feel, Roaa, Elbassuoni, Shady, Ghannam, Hiyam, Jaber, Mohamad, Farah, May
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600244/
https://www.ncbi.nlm.nih.gov/pubmed/34820650
http://dx.doi.org/10.1016/j.patter.2021.100369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600244/
https://www.ncbi.nlm.nih.gov/pubmed/34820650
http://dx.doi.org/10.1016/j.patter.2021.100369

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