Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition

摘要

•Novelty attracts human attention and acts as a stimulus for information sharing•Fake news appeal to our emotions which is its strong selling point.•We explore the role of textual novelty and emotion in automatic fake news detection.•We propose a multitask learning framework for misinformation detection.