These statistics suggest that passive or manual techniques for curbing propagation of abusive content (such as flagging) are neither effective nor easily scalable (Pavlopoulos et al., 2017).
the efforts to automate the detection and moderation of such content have been gaining popularity in natural language processing (NLP) (Waseem and Hovy, 2016;Wulczyn et al., 2017).