Linguistic Analysis of Toxic Behavior in an Online Video Game

Haewoon Kwak, Jeremy Blackburn

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

15 Citations (Scopus)

Abstract

In this paper we explore the linguistic components of toxic behavior by using crowdsourced data from over 590 thousand cases of accused toxic players in a popular match-based competition game, League of Legends. We perform a series of linguistic analyses to gain a deeper understanding of the role communication plays in the expression of toxic behavior. We characterize linguistic behavior of toxic players and compare it with that of typical players in an online competition game. We also find empirical support describing how a player transitions from typical to toxic behavior. Our findings can be helpful to automatically detect and warn players who may become toxic and thus insulate potential victims from toxic playing in advance.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages209-217
Number of pages9
Volume8852
ISBN (Print)9783319151670
DOIs
Publication statusPublished - 2015
Event6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain
Duration: 10 Nov 201413 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8852
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Social Informatics, SocInfo 2014
CountrySpain
CityBarcelona
Period10/11/1413/11/14

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Keywords

  • Cyberbullying
  • League of Legends
  • Online games
  • Toxic behavior
  • Tribunal
  • Verbal violence

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kwak, H., & Blackburn, J. (2015). Linguistic Analysis of Toxic Behavior in an Online Video Game. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8852, pp. 209-217). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8852). Springer Verlag. https://doi.org/10.1007/978-3-319-15168-7_26