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πŸ‡§πŸ‡© Bengali Fake News Detection Dataset

Language Task Size License

πŸ“„ Context

Official Novel dataset for the research paper:

"Bengali Fake News Detection: A Multi-Layered LSTM Ensemble Approach" Published in: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

This dataset focuses on mainstream Bangladeshi journalism, aggregating news from credible top TV channels and newspapers to provide a robust benchmark for authentic vs. fabricated news detection.


πŸ”— Associated Resources

Resource Link
πŸ“„ Paper (IEEE Xplore) IEEE
πŸ™ GitHub Repository GitHub
🐍 Kaggle Dataset Kaggle

πŸ’Ύ Dataset Specifications

Feature Details
Total Documents 11,839
Authentic (Label 1) 6,000 documents
Fake (Label 0) 5,839 documents
Total Words 187,127 unique words
Language Bengali (Bangla)

πŸ“ Column Description

Column Description
domain The source publication or website.
category The news category.
headline The title of the news article.
content The full text of the news article.
label 1 for Authentic, 0 for Fake.

πŸš€ Quick Start

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("musfiqurtuhin/bengali-fake-news")

# View a sample
print(dataset['train'][0])

🀝 Citation

If you use this dataset, please cite our work:

@INPROCEEDINGS{11171927,
  author={Rinky, Susmita Roy and Tusher, Md. Mahbubur Rahman and Rahman, Md. Musfiqur and Porag, Prithweeraj Acharjee and Islam, Jahidul and Miah, Abu Saleh Musa},
  booktitle={2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)}, 
  title={Bengali Fake News Detection: A Multi-Layered LSTM Ensemble Approach}, 
  year={2025},
  pages={1-6},
  doi={10.1109/QPAIN66474.2025.11171927}
}
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