Online Hatred of Women in the Incels.me Forum: Linguistic Analysis and Automatic Detection

Abstract

Cite this paper Get the citation in MLA, APA, or Chicago styles Downloaded from Academia.edu  Related papers Want ing sex and willing t o kill: Examining demographic and cognit ive charact erist ics of violent … DJ Williams T he 'Incel' Phenomenon in t he Digit al Era-How Echo Chambers have Fueled t he Incel Movement SM Amadae, Eero Salojärvi T he Black Pill: New Technology and t he Male Supremacy of Involunt arily Celibat e Men Kayla Prest on Download a PDF Pack of t he best relat ed papers  Abstract This paper presents a study of the (now suspended) online discussion forum Incels.me and its users, involuntary celibates or incels, a virtual community of isolated men without a sexual life, who see women as the cause of their problems and often use the forum for misogynistic hate speech and other forms of incitement. Involuntary celibates have attracted media attention and concern, after a killing spree in April 2018 in Toronto, Canada. The aim of this study is to shed light on the group dynamics of the incel community, by applying mixed-methods quantitative and qualitative approaches to analyze how the users of the forum create in-group identity and how they construct major out-groups, particularly women. We investigate the vernacular used by incels, apply automatic profiling techniques to determine who they are, discuss the hate speech posted in the forum, and propose a Deep Learning system that is able to detect instances of misogyny, homophobia, and racism, with approximately 95% accuracy.