2 citations · 2 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning for Efficient Toxicity Detection in Competitive Online Video Games
Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez
Online platforms take proactive measures to detect and address undesirable behavior, aiming to focus these resource-intensive efforts where such behavior is most prevalent. This ar…
Uncovering the Viral Nature of Toxicity in Competitive Online Video Games
Jacob Morrier, Amine Mahmassani, R. Michael Alvarez
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, amplify…
Uncovering the Effect of Toxicity on Player Engagement and its Propagation in Competitive Online Video Games
Jacob Morrier, Amine Mahmassani, R. Michael Alvarez
This article seeks to provide accurate estimates of the causal effect of exposure to toxic language on player engagement and the proliferation of toxic language. To this end, we an…
Measuring the Quality of Answers in Political Q&As with Large Language Models
R. Michael Alvarez, Jacob Morrier
This article proposes a new approach for assessing the quality of answers in political question-and-answer sessions. We measure the quality of an answer based on how easily and acc…