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π§π© Bengali Fake News Detection Dataset
π 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.
π Associated Resources
πΎ 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) |
π 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. |
π Quick Start
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("musfiqurtuhin/bengali-fake-news")
# View a sample
print(dataset['train'][0])
π€ 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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