The Impact of Toxic Language on the Health of Reddit Communities

By S. Mohan, Apala Guha, M. Harris, Fred Popowich, A. Schuster, C. Priebe, Chris Priebe. 2017

63 citations recorded by the source corpus.

How researchers see this paper

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RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models (2020, background): “…from standard subreddits (see Figure 10 in Appendix §D), confirming Reddit users’ propensity to share oppressive and abusive content (Massanari, 2017; Mohan et al., 2017; Rajadesingan et al., 17Quarantined subreddits are special-access only and easily scraped, whereas banned subreddits are…”
Online Hate Ratings Vary by Extremes: A Statistical Analysis (2019, background): “Online hate research is important because hate has become commonplace in many social networks, communities, and websites [11, 13, 16].”
GoEmotions: A Dataset of Fine-Grained Emotions (2020, background): “The platform also introduces a skew towards toxic, offensive language (Mohan et al., 2017).”
Contextualizing Hate Speech Classifiers with Post-hoc Explanation (2020, background): “Hate speech detection is part of the ongoing effort to limit the harm done by oppressive and abusive language (Waldron, 2012; Gelber and McNamara, 2016; Gagliardone et al., 2015; Mohan et al., 2017).”
Online Hate Interpretation Varies by Country, But More by Individual: A Statistical Analysis Using Crowdsourced Ratings (2018, background): “For example, [12] analyzed the health and toxicity of 180 subreddits, finding that there is a high negative correlation between community health and toxicity.”