Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or abandon a game at different stages within the game, previous studies have looked at the retention problem from a snapshot view. This study, by analyzing in-game logs of 51,104 distinct individuals in an online multiplayer game, uniquely offers a multifaceted view of the retention problem over the players' virtual life phases. We find that key indicators of longevity change with the game level. Achievement features are important for players at the initial to the advanced phases, yet social features become the most predictive of longevity once players reach the highest level offered by the game. These findings have theoretical and practical implications for designing online games that are adaptive to meeting the players' needs.
Most recently, another group of researchers observed that game interactions such as interacting with toxic players can have negative impacts on retention in League of Legends @cite_5 . As cyberbullying has been considered as one of the factors that make players annoyed, feel fatigued, and even leave the game @cite_15 , there have been much efforts to define, detect, and prevent toxic playing in online games @cite_17 @cite_18 @cite_14 . However, in this work, we do not investigate the effect of cyberbullying on player engagement due to the limitation of our dataset.
@cite_18 @cite_14 @cite_5 @cite_15 @cite_17
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One problem facing players of competitive games is negative, or toxic, behavior. League of Legends, the largest eSport game, uses a crowdsourcing platform called the Tribunal to judge whether a reported toxic player should be punished or not. The Tribunal is a two stage system requiring reports from those players that directly observe toxic behavior, and human experts that review aggregated reports. While this system has successfully dealt with the vague nature of toxic behavior by majority rules based on many votes, it naturally requires tremendous cost, time, and human efforts. In this paper, we propose a supervised learning approach for predicting crowdsourced decisions on toxic behavior with large-scale labeled data collections; over 10 million user reports involved in 1.46 million toxic players and corresponding crowdsourced decisions. Our result shows good performance in detecting overwhelmingly majority cases and predicting crowdsourced decisions on them. We demonstrate good portability of our classifier across regions. Finally, we estimate the practical implications of our approach, potential cost savings and victim protection. 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. From the Publisher: A soup-to-nuts overview of just what it takes to successfully design, develop and manage an online game. Learn from the top two online game developers through the real-world successes and mistakes not known to others. There are Case studies from 10+ industry leaders, including Raph Koster, J. Baron, R. Bartle, D. Schubert, A. Macris, and more! Covers all types of online games: Retail Hybrids, Persistent Worlds, and console games. Developing Online Games provides insight into designing, developing and managing online games that is available nowhere else. Online game programming guru Jessica Mulligan and seasoned exec Bridgette Patrovsky provide insights into the industry that will allow others entering this market to avoid the mistakes of the past. In addition to their own experiences, the authors provide interviews, insight and anecdotes from over twenty of the most well-known and experienced online game insiders. The book includes case studies of the successes and failures of today's most well-known online games. There is also a special section for senior executives on how to budget an online game and how to assemble the right development and management teams. The book ends with a look at the future of online gaming: not only online console gaming (Xbox Online, Playstation 2), but the emerging mobile device game market (cell phones, wireless, PDA). 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.