Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games
This research addresses toxic behavior in online gaming, offering empirical data to improve community management and safety, though it is incremental in applying existing theories to a new dataset.
The study investigated cyberbullying and toxic behavior in team competition online games using a dataset of over 10 million player reports on 1.46 million toxic players, providing large-scale empirical insights and a basis for detection and prevention systems.
In this work we explore cyberbullying and other toxic behavior in team competition online games. Using a dataset of over 10 million player reports on 1.46 million toxic players along with corresponding crowdsourced decisions, we test several hypotheses drawn from theories explaining toxic behavior. Besides providing large-scale, empirical based understanding of toxic behavior, our work can be used as a basis for building systems to detect, prevent, and counter-act toxic behavior.