2026
MVIR: MULTI-VIEW VISUAL-SEMANTIC REPRESENTATION FOR FAKE NEWS DETECTION
ICASSP 2026poster
With the rise of online social networks, detecting fake news accurately is essential for a healthy online environment. While existing methods have advanced multimodal fake news detection, they often neglect the multi-view visual-semantic aspects of news, such as different text perspectives of the sa…