The DAAD approach introduces a flexible, adaptive system for multimodal fake news detection that doesn't rely on manual expertise.

Key Innovations:

• Combines dynamic analysis techniques with adaptive discrimination methods
• Analyzes multiple information modalities to improve detection accuracy
• Reduces dependency on human expertise and feedback
• Creates a more flexible detection system for evolving misinformation tactics

Security Impact: This research addresses a critical cybersecurity challenge by providing automated defenses against misinformation campaigns that pose documented societal threats, helping organizations protect information integrity at scale.

Dynamic Analysis and Adaptive Discriminator for Fake News Detection