Multimodal Fusion with Dual-Attention Based on Textual Double-Embedding Networks for Rumor Detection

• Published in: Applied sciences Vol. 13; no. 8; p. 4886
• Main Authors: Han, Huawei, Ke, Zunwang, Nie, Xiangyang, Dai, Li, Slamu, Wushour
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: attention mechanism; Deep learning; False information; Gossip; Multimedia; multimodal fusion; Neural networks; Research methodology; rumor detection; Social networks; Germany

Rumors may bring a negative impact on social life, and compared with pure textual rumors, online rumors with multiple modalities at the same time are more likely to mislead users and spread, so multimodal rumor detection cannot be ignored. Current detection methods for multimodal rumors do not focus...