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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.

Journal of Intelligent Information Systems
|June 26, 2023
PubMed
Summary
This summary is machine-generated.

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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.
Keywords:
Cross-language fake newsDeep learningFake newsMachine learning

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