Combining transformer, Bi-LSTM and CNN for efficient Vietnamese fake news detection

Fake news spreading widely on digital platforms presents challenges where the rapidly evolving information landscape lacks effective detection. This paper introduces a hybrid deep learning model that integrates Transformer, Bidirectional Long Short-Term Memory (Bi-LSTM), and Convolutional Neural Net...

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Detalles Bibliográficos

Principais autores:	Chi Khanh Ninh, Trung Hung Vo, Duy Khanh Ninh
Formato:	Artigo
Idioma:	Inglês
Publicado:	The University of Danang 2025-09-01
Series:	Tạp chí Khoa học và Công nghệ
Assuntos:	fake news detection transformer bi-lstm cnn text classification deep learning natural language processing
Acceso en liña:	https://jst-ud.vn/jst-ud/article/view/10142
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