Fusion of Frequency-Domain Features and Sequential Dependency for Multimodal Rumor Detection
A multimodal rumor detection framework that integrates frequency-domain features with sequential dependency modeling and an adaptive gated fusion strategy dynamically balances the contributions of different modalities, thereby enhancing the discriminative capability of the fused representation.