FakeNews-TransAug: an enhanced AraBERT-Based deep learning model with data augmentation for addressing class imbalance in Arabic fake news detection

The rapid proliferation of fake news and fake news in digital media, particularly in the Arabic language, poses serious threats to public trust and societal stability. This article introduces FakeNews-TransAug, a novel deep learning model designed to enhance Arabic fake news detection through advanc...

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Principais autores:	Noor M. Alkudah, Norisma Binti Idris, Mohammad A. M. Abushariah, Aznul Qalid Md Sabri, Mohannad Alkhalili
Formato:	Artigo
Idioma:	Inglês
Publicado:	PeerJ Inc. 2026-03-01
Series:	PeerJ Computer Science
Assuntos:	Data augmentation Imbalance dataset Fake news AraBERT Transformer-based model Arabic NLP
Acceso en liña:	https://peerj.com/articles/cs-3654.pdf
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