Recognizing explicit and implicit hate speech using a weakly supervised two-path bootstrapping approach

Abstract

To address various limitations of supervised hate speech classification methods includ- ing corpus bias and huge cost of annota- tion, we propose a weakly supervised two- path bootstrapping approach for an online hate speech detection model leveraging large-scale