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Hybrid deep learning models for fake news detection: case study on Arabic and English languages
Baqer M Merzah1, Jafar Razmara1, Zolfaghar Salmanian1
1Department of Computer Science, Faculty of Mathematics, Statistics, and Computer Science, University of Tabriz, Tabriz, Iran.
Frontiers in Big Data
|January 22, 2026
Summary
This study introduces a deep learning model for fake news detection in Arabic and English, achieving high accuracy. The model effectively combats misinformation on social networks.
Area of Science:
- Natural Language Processing
- Machine Learning
- Artificial Intelligence
Background:
- The proliferation of online fake news poses a significant threat to public discourse.
- Existing fake news detection models often lack multilingual capabilities and exhibit low accuracy, particularly for Arabic.
- Resource constraints and linguistic complexities in Arabic present unique challenges for misinformation detection.
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