Hybrid deep learning models for fake news detection: case study on Arabic and English languages

This work provides a robust approach to combating misinformation, offering practical applications in enhancing the reliability of information on social networks.

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Publication Details

Journal
Frontiers in Big Data
Published
2026-01-06
DOI
https://doi.org/10.3389/fdata.2025.1683786
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

Baqer M. Merzah, Zolfaghar Salmanian, Jafar Razmara
Frontiers in Big Data
Misinformation and Its Impacts
article

Hybrid deep learning models for fake news detection: case study on Arabic and English languages

Baqer M. Merzah, Zolfaghar Salmanian, Jafar Razmara
article en

Abstract

This work provides a robust approach to combating misinformation, offering practical applications in enhancing the reliability of information on social networks.

Frontiers in Big DataVol. 8
University of Tabriz (IR)
Openalex Percentile: Top 95%
Misinformation and Its Impacts
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Hybrid deep learning models for fake news detection: case study on Arabic and English languages — Baqer M. Merzah, Zolfaghar Salmanian, et al. · Frontiers in Big Data (2026) | TGRS Research Map | TGRS