Zuyao Ma

Learning Sparse Alignments via Optimal Transport for Cross-Domain Fake News Detection

Fake news causes cognitive misperception among the audience and spreads panic to the public. It is crucial to detect fake news and prevent its spread early. Previous methods focus on excavating distinguishable features from news contents in a single domain with deep models, which are difficult to ge…