“Stronger than Hate”: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack

Abstract

In this paper, we present an analysis of 36,685 tweets related to the 2020 Vienna terror attack. We used a Convolutional Neural Network (CNN) approach to identify hateful and non-hateful tweets. Our findings indicate that users who post hateful content are predominantly anonymous. Moreover, we found that hateful messages can spread widely across the network and that hateful communication forms characteristic structural patterns.