Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions
Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil,, Jure Leskovec

TL;DR
This paper investigates how ordinary users can engage in trolling behavior in online discussions, identifying mood and discussion context as key triggers through experiments and real-world data analysis.
Contribution
It demonstrates that trolling is not limited to a vocal minority but can be triggered by mood and context, supported by experimental and longitudinal data.
Findings
Negative mood increases trolling likelihood
Seeing troll posts significantly raises trolling probability
Mood and context together predict trolling better than past behavior
Abstract
In online communities, antisocial behavior such as trolling disrupts constructive discussion. While prior work suggests that trolling behavior is confined to a vocal and antisocial minority, we demonstrate that ordinary people can engage in such behavior as well. We propose two primary trigger mechanisms: the individual's mood, and the surrounding context of a discussion (e.g., exposure to prior trolling behavior). Through an experiment simulating an online discussion, we find that both negative mood and seeing troll posts by others significantly increases the probability of a user trolling, and together double this probability. To support and extend these results, we study how these same mechanisms play out in the wild via a data-driven, longitudinal analysis of a large online news discussion community. This analysis reveals temporal mood effects, and explores long range patterns of…
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Taxonomy
TopicsSocial Media and Politics · Hate Speech and Cyberbullying Detection · Opinion Dynamics and Social Influence
