  This paper explores ways in which the harmful effects of cyber hate may be
mitigated through mechanisms for enhancing the self governance of new digital
spaces. We report findings from a mixed methods study of responses to cyber
hate posts, which aimed to: (i) understand how people interact in this context
by undertaking qualitative interaction analysis and developing a statistical
model to explain the volume of responses to cyber hate posted to Twitter, and
(ii) explore use of machine learning techniques to assist in identifying cyber
hate counter-speech.
