# Bangla Fake News Detection Based On Multichannel Combined CNN-LSTM

arXiv: https://arxiv.org/abs/2503.04781 · HTML: https://mlsanity.com/paper/2503.04781/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 14 references that are in the map.
- First posted on arXiv 24 Feb 2025.

## Builds on (most cited first, 5 of 5)

- [Automatic Detection of Fake News](https://mlsanity.com/paper/1708.07104/) (2017)
- [BanFakeNews: A Dataset for Detecting Fake News in Bangla](https://mlsanity.com/paper/2004.08789/) (2020)
- [Detection of Bangla Fake News using MNB and SVM Classifier](https://mlsanity.com/paper/2005.14627/) (2020)
- [A Benchmark Study of Machine Learning Models for Online Fake News Detection](https://mlsanity.com/paper/1905.04749/) (2019)
- [Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model](https://mlsanity.com/paper/1911.11062/) (2019)

## Abstract (arXiv)

There have recently been many cases of unverified or misleading information circulating quickly over bogus web networks and news portals. This false news creates big damage to society and misleads people. For Example, in 2019, there was a rumor that the Padma Bridge of Bangladesh needed 100,000 human heads for sacrifice. This rumor turns into a deadly position and this misleading information takes the lives of innocent people. There is a lot of work in English but a few works in Bangla. In this study, we are going to identify the fake news from the unconsidered news source to provide the newsreader with natural news or real news. The paper is based on the combination of convolutional neural network (CNN) and long short-term memory (LSTM), where CNN is used for deep feature extraction and LSTM is used for detection using the extracted feature. The first thing we did to deploy this piece of work was data collection. We compiled a data set from websites and attempted to deploy it using the methodology of deep learning which contains about 50k of news. With the proposed model of Multichannel combined CNN-LSTM architecture, our model gained an accuracy of 75.05%, which is a good sign for detecting fake news in Bangla.