Multimodal fake news detection through data augmentation-based contrastive learning

• Published in: Applied soft computing Vol. 136; p. 110125
• Main Authors: Hua, Jiaheng, Cui, Xiaodong, Li, Xianghua, Tang, Keke, Zhu, Peican
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2023
• Subjects: Contrastive learning; Fake news detection; Machine learning; Multimodal framework; Fake news detection; Multimodal framework; Machine learning; Contrastive learning

During the information exploding era, news can be created or edited purposely for promoting the spreading of social influence. However, unverified or fabricated news can also spread unscrupulously, leading to serious consequences, such as poor decisions or even health risk. Thus, in order to discrim...