Novelty and Emotion in Multimodal Misinformation Detection

This chapter covers the significance of novelty and emotion in identifying multimodal misinformation. It first discusses the working principle and applications of contrastive learning. After that, this chapter briefly explains a misinformation dataset. The primary objective of this chapter is to detect misleading news containing the same image in different textual content. It also looks into the impacts of novelty and emotion since these are the key components that lead to the dissemination of misleading information. Thus, the secondary goal of this chapter is to examine how emotion and novelty play an important role in multimodal misinformation detection.