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Uncovering the Viral Nature of Toxicity in Competitive Online Video Games

Published 1 Oct 2024 in cs.CY, cs.HC, econ.GN, and q-fin.EC | (2410.00978v2)

Abstract: Toxicity is a widespread phenomenon in competitive online video games. In addition to its direct undesirable effects, there is a concern that toxicity can spread to others, amplifying the harm caused by a single player's misbehavior. In this study, we estimate whether and to what extent a player's toxic speech spreads, causing their teammates to behave similarly. To this end, we analyze proprietary data from the free-to-play first-person action game Call of Duty: Warzone. We formulate and implement an instrumental variable identification strategy that leverages the network of interactions among players across matches. Our analysis reveals that all else equal, all of a player's teammates engaging in toxic speech increases their probability of engaging in similar behavior by 26.1 to 30.3 times the average player's likelihood of engaging in toxic speech. These findings confirm the viral nature of toxicity, especially toxic speech, in competitive online video games.

Summary

  • The paper quantifies the contagion effect of toxicity, showing that a teammate's toxic speech raises the likelihood of similar behavior by up to 29.6 times in BR Duos mode.
  • The study employs a two-stage least squares estimation and instrumental variable strategy to isolate the causal impact of peer toxic behavior.
  • The research provides actionable insights for game developers to design targeted interventions that curb toxicity in online competitive gaming.

Analyzing the Viral Nature of Toxicity in Competitive Online Video Games

The research presented in "Uncovering the Viral Nature of Toxicity in Competitive Online Video Games" by Jacob Morrier, Amine Mahmassani, and R. Michael Alvarez explores the propagation dynamics of toxic behavior within online gaming environments, specifically within the context of Call of Duty: Warzone™. Utilizing proprietary data, the authors concentrate on quantifying the extent to which toxic speech among teammates influences others to engage similarly, thereby confirming toxicity's viral nature.

Methodological Framework

The study leverages a sophisticated instrumental variable identification strategy. By evaluating network interactions among players and implementing a two-stage least squares estimation technique, the authors isolate the causal effect of toxic speech on teammates. This approach addresses the complexities inherent in peer effect studies, particularly the endogenous nature of players to mutually influence each other's behavior during gaming sessions.

The dataset is extensive, comprising multiple observations across different game modes, including Duos and Quads. The authors differentiate between algorithmically matched players and self-selected parties, adding a layer of robustness to the causal inference. This distinction is crucial as it mitigates biases introduced by group homophily, where players with similar propensities towards toxic behavior self-select into teams.

Key Findings

One of the significant outcomes of this research is the quantifiable impact of toxic behavior spreading among players:

  • In the BR Duos mode, a teammate's engagement in toxic speech increases the chance of a player participating in similar behavior by approximately 29.6 times the average probability.
  • In the BR Quads mode, the effect is somewhat diminished but still substantial, with an increase of 26.1 times the average probability.

These findings provide strong evidence of the viral nature of toxicity, highlighting the amplification effect where a single player's misconduct can dramatically increase the likelihood of similar behaviors among peers.

Implications and Future Directions

The research has profound implications for game developers seeking to mitigate toxic behavior. Understanding the contagion effect of toxicity allows for better-targeted interventions, potentially reducing its prevalence and improving the gaming experience. By accurately identifying and quantifying peer influence, developers can design more effective moderation tools and community management strategies.

Moreover, the study contributes to the theoretical understanding of peer effects, especially within virtual environments, and presents a methodological advancement in handling endogeneity and reflection problems through innovative causal identification techniques.

For future research, exploring the differential spread of toxic behaviors across varying gaming contexts and demographic groups would be invaluable. Additionally, integrating real-time interventions based on predictive models of toxicity spread could serve as a practical application of the findings presented.

Overall, this paper provides a rigorous analysis of toxicity propagation, offering both theoretical insights and practical solutions to address one of the pressing challenges in competitive online gaming.

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