Multimodal based Amharic fake news detection using CNN and attention-based BiLSTM

Abstract Fake news consists of fabricated stories with no verifiable facts, sources, or quotes, often created to mislead readers or for economic gain, such as click bait. While the spread of fake news on social media has been widely recognized for its profound political, economic, and social consequ...

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Hlavní autoři:	Alemu Desu Geto, Eshete Derb Emiru, Nuru Endris Seid, Alemu Belay Tessema, Bedru Yimam Ahmed
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-10-01
Edice:	Scientific Reports
Témata:	Fake news detection Deep learning Natural language processing Image processing Multimodal
On-line přístup:	https://doi.org/10.1038/s41598-025-17579-w
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