Open access
Jul 2026
TERN: Type-Aware Evidence Reasoning for Multimodal Fake News Detection
TERN induces latent deception types from image-side multimodal features through prototype-based clustering, uses the induced assignments as structural priors for downstream veracity prediction, disentangles type-discriminative factors from semantic content, and performs type-conditioned hierarchical reasoning over text semantics, image authenticity, and cross-modal consistency.
Mingshu Zhang, Hongyu Jin, Yuechuan Zhang et al.
· Applied Sciences · 1 citation