Analyzing hate speech toward players from the MENA in League of Legends

Sercan Şengün, Jung Soongyo, Bernard James Jansen, Joni Salminen, Peter Mawhorter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We analyze hate speech toward the MENA players as a form of toxic behavior in League of Legends in-game and forum chats. We find that this kind of toxicity: (1) is initiated by one or two players; (2) sparks from criticizing the skills of team members; (3) can be elevated by frustration with game elements and hardware; and (4) can turn into personal clashes. There is also non-toxic use of abusive language, which stresses the importance of context-aware analysis (i.e., interpreting. what is actually toxic). Finally, we find evidence that the type of toxicity varies by server location, advising gaming companies to consider the location of players when setting up policies to mitigate hate speech.

Original languageEnglish (US)
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - May 2 2019
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: May 4 2019May 9 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
CountryUnited Kingdom
CityGlasgow
Period5/4/195/9/19

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Cite this

Şengün, S., Soongyo, J., Jansen, B. J., Salminen, J., & Mawhorter, P. (2019). Analyzing hate speech toward players from the MENA in League of Legends. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [3312924] (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290607.3312924