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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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| 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 |