A Multimodal Framework for Bangla Fake News Classification through Cross-Attention Fusion

We have developed a multimodal framework that integrates BanglaBERT, CLIP, AI-generated image detection,
and metadata through cross-attention fusion for Bangla
fake news detection.
• We have introduced a structured credibility mechanism
combining headline-body consistency, source credibility,
and virality features for improved fake news detection.
• We have evaluated the framework on 3,601 Bengali news
samples, including a held-out set of 491 unseen articles
to assess generalization.