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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Veröffentlicht in:	Applied soft computing 2021-08, Vol.107, p.107393-107393, Article 107393
Hauptverfasser:	Paka, William Scott, Bansal, Rachit, Kaushik, Abhay, Sengupta, Shubhashis, Chakraborty, Tanmoy
Format:	Artikel
Sprache:	eng
Schlagworte:	COVID-19 Fake news detection Social media
Online-Zugang:	Volltext
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