Publication Type

Book

Version

acceptedVersion

Publication Date

11-2014

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.

Keywords

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

Discipline

Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Volume

8852

Editor

KWAK, Haewoon; BLACKBURN, Jeremy

First Page

209

Last Page

217

ISBN

9783319151670

Identifier

10.1007/978-3-319-15168-7_26

Publisher

Springer Verlag

City or Country

Barcelona

Additional URL

https://link.springer.com/chapter/10.1007/978-3-319-15168-7_26

Download

Share

COinS