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Pitfalls in Popular Misinformation Detection Methods and How to Avoid Them
Misinformation is a major challenge today, and much academic work has been done to study misinformation, including evaluating its prevalence, trend, behavior, and impact. Many scholars have also sought effective mitigation strategies to curtail the spread and influence of misinformation. In this dissertation, we focus on misinformation detection (MID). We evaluate three popular MID approaches: i) expert labeling, ii) automated methods, and iii) crowd wisdom. For each approach, we first reviewdoi:10.7302/6199 fatcat:f5jznf7gbfac3kog2dbs5tfmle