Multimodality in Misinformation Detection

The fifth chapter explores the importance of multimodality in solving various NLP tasks. It begins with the discussion of the basic introduction of multimodality, and after that, it talks about various applications and challenges of multimodality. Later, this chapter briefly explores a case study in which it discusses how and why multimodality is important in misinformation detection. The case study describes an end-to-end deep learning system that determines if a multimedia post is authentic or fake based on its text and image input. The critical point of any multimodal system is to get the efficient and best multimodal features, which is the prime objective of solving misinformation detection in this chapter.