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Towards COVID-19 fake news detection using transformer-based models

The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks. However, developing an effective way to detect such news is challenging, especially when published news involves mixing true and false information. Detecting COVID-19 fake news has become a critical task in the...

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Detalles Bibliográficos
Autores principales: Alghamdi, Jawaher, Lin, Yuqing, Luo, Suhuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197436/
https://www.ncbi.nlm.nih.gov/pubmed/37250528
http://dx.doi.org/10.1016/j.knosys.2023.110642