Exploring cyberbullying and other toxic behavior in team competition online games

• Main Authors: KWAK, Haewoon, BLACKBURN, Jeremy, HAN, Seungyeop.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: MOBA; online video game; toxic playing; team competition; cyberbullying; crowdsourcing; League of Legends; trolling; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6093; https://ink.library.smu.edu.sg/context/sis_research/article/7096/viewcontent/2702123.2702529.pdf
• Institution: Singapore Management University

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.