Multitasking for Misinformation Detection

This chapter majorly focuses on multitask learning approach. The chapter starts with the basic introduction of multitask learning and concludes with the effectiveness of multitask learning in the context of misinformation detection. The primary purpose of this chapter is to justify how interrelated tasks help improve the performance of main tasks while all the tasks are performed simultaneously. It also discusses a unified approach for comprehensively identifying misinformation as a case study. For misinformation detection, it introduces a model that simultaneously performs novelty detection, emotion recognition, and misinformation detection.