An Automated Unsupervised Model Using Probabilistic Mixture Models and Textual Analysis for Arabic Fake News Detection

Along with the coronavirus pandemic (COVID-19), some in the medical publication industry have observed an “infodemic”, which is more pandemic than the virus. Given the lack of sufficient pandemic preparedness measures in many countries, people started posting millions of posts on social media withou...

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Autores principales:	Nuha Zamzami, Hanen Himdi, Rehab K. Qarout
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-04-01
Colección:	Mathematics
Materias:	Arabic fake news COVID-19 infodemic textual analysis unsupervised learning real-time clustering probabilistic mixture
Acceso en línea:	https://www.mdpi.com/2227-7390/14/8/1250
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