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Arabic Fake News Detection with WaraBERT by Ghassan Samara is a document available to read on EtoBox.

What is Arabic Fake News Detection with WaraBERT about?

The study presents a novel approach for detecting Arabic fake news using a hybrid feature extraction method called WaraBERT, which combines word-level tokenization with two variants of AraBERT. The research utilized two datasets, achieving an accuracy of 93.83% with WaraBERT-V1 on the Arabic fake news dataset and 81.25% on the AraNews dataset, outperforming traditional methods. The findings emphasize the importance of data cleaning and the effectiveness of deep learning models in identifying misleading info

Author
Ghassan Samara
Language
EN

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