Cross-Modal Attention for Fake News Detection: Integrating Text and Image Features with Multi-Modal Fusion and Advanced Methods

Key Points

• The aim is to develop an advanced method that detects fake news by integrating text and image features using cross-modal attention.
• Utilized cross-modal attention techniques to assess text and image data.
• Implemented multi-modal fusion to enhance feature integration.
• Conducted comparative analyses of detection accuracy.
• Demonstrated improved accuracy in fake news detection compared to traditional methods.
• Showed effectiveness of combining text and images for better classification results.