2023
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
AAAI 2023technical
This paper makes two key contributions. First, it argues that highly specialized rare content classifiers trained on small data typically have limited exposure to the richness and topical diversity of the negative class (dubbed anticontent) as observed in the wild. As a result, these classifiers' st…