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

“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.

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Additional Information

Publisher Copyright: © 2021 IEEE.

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Authors
  • Lindermayr, Michaela
  • Kusen, Ema
  • Strembeck, Mark
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
2021 8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021
Divisions
Security and Privacy
Subjects
Computersicherheit
Angewandte Informatik
Event Location
Virtual, Gandia/Spain
Event Type
Conference
Event Dates
6-9 Dec 2021
Date
December 2021
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