Multimodal Fusion Network With Contrary Latent Topic Memory for Rumor Detection

Rumors can mislead readers and even have a negative impact on public events, especially multimodal rumors with text and images, which attract readers’ attention more easily. Most existing methods focus on capturing specific characteristics of rumor events and have difficulty in identifying unknown rumor events. In this article, we propose a multimodal rumor-detection network (MRDN) for social rumo...