Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions
Hind Almerekhi; Haewoon Kwak; Joni Salminen; Bernard J. Jansen
Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions
Hind Almerekhi
Haewoon Kwak
Joni Salminen
Bernard J. Jansen
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022020818091
https://urn.fi/URN:NBN:fi-fe2022020818091
Tiivistelmä
Understanding the causes or triggers of toxicity adds a new dimension to the prevention of toxic behavior in online discussions. In this research, we define toxicity triggers in online discussions as a non-toxic comment that lead to toxic replies. Then, we build a neural network-based prediction model for toxicity trigger. The prediction model incorporates text-based features and derived features from previous studies that pertain to shifts in sentiment, topic flow, and discussion context. Our findings show that triggers of toxicity contain identifiable features and that incorporating shift features with the discussion context can be detected with a ROC-AUC score of 0.87. We discuss implications for online communities and also possible further analysis of online toxicity and its root causes.C1 - Taipei, TaiwanC3 - Proceedings of The Web Conference 2020
Kokoelmat
- Rinnakkaistallenteet [19207]