Predicting Different Types of Subtle Toxicity in Unhealthy Online Conversations
Shlok Gilda,
Mirela Silva,
Luiz Giovanini
et al.
Abstract:This paper investigates the use of machine learning models for the classification of unhealthy online conversations containing one or more forms of subtler abuse, such as hostility, sarcasm, and generalization. We leveraged a public dataset of 44K online comments containing healthy and unhealthy comments labeled with seven forms of subtle toxicity. We were able to distinguish between these comments with a top micro F1-score, macro F1score, and ROC-AUC of 88.76%, 67.98%, and 0.71, respectively. Hostile comments… Show more
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