A Multimodal Framework for Bengali Fake News Detection

Paper ID: 51

Abstract

This study introduces a multimodal fake news detection framework for Bengali, combining text and image analysis to improve accuracy. Using the BanglaMM-FND dataset, the approach integrates BERT-based models with Vision Transformer, achieving a macro-averaged F1-score of 0.71, highlighting the potential of multimodal fusion in combating fake news in low-resourced languages.

Keywords