Automatically Discovering How Misogyny is Framed on Social Media

Abstract

Misogyny, which is widespread on social media, can be identified not only by recognizing its many forms but also by discovering how misogyny is framed. This paper considers the automatic discovery of misogyny problems and their frames through the novel Dis-MP&F method, which enables the generation of a data-driven, rich Taxonomy of Misogyny (ToM), offering new insights in the complexity of the way misogyny is expressed. Furthermore, the reported Dis-MP&F method, informed by the ToM, is capable of producing very promising results on a misogyny benchmark dataset.