Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection

As the COVID-19 pandemic sweeps across the world, it has been accompanied by a tsunami of fake news and misinformation on social media. At the time when reliable information is vital for public health and safety, COVID-19 related fake news has been spreading even faster than the facts. During times...

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Detalles Bibliográficos
Autores principales: Paka, William Scott, Bansal, Rachit, Kaushik, Abhay, Sengupta, Shubhashis, Chakraborty, Tanmoy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761197/
https://www.ncbi.nlm.nih.gov/pubmed/36568256
http://dx.doi.org/10.1016/j.asoc.2021.107393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761197/
https://www.ncbi.nlm.nih.gov/pubmed/36568256
http://dx.doi.org/10.1016/j.asoc.2021.107393

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