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Multilingual deep learning framework for fake news detection using capsule neural network
Rami Mohawesh1, Sumbal Maqsood2, Qutaibah Althebyan1,3
1Cybersecurity Department, College of Engineering, Al Ain University, Al Ain - Abu Dhabi, UAE.
Summary
This study introduces a novel semantic approach for multilingual fake news detection, outperforming existing methods across various languages. The research utilizes a capsule neural network for enhanced identification of deceptive content in diverse linguistic contexts.
Area of Science:
- Natural Language Processing
- Artificial Intelligence
- Computational Linguistics
Background:
- Multilingual fake news detection presents significant challenges due to linguistic complexity.
- Existing methods struggle to capture sufficient semantic and contextual features in multilingual corpora.
- Accurate identification of fake news is crucial in today's information landscape.
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