papersSEP 10 04:00 UTC
Speech Act Features Improve Low-Data Forecasting of Online Conversation Derailment
A revised research paper describes a technique for predicting when online discussions are likely to escalate into hostility before it happens, allowing moderators to intervene early. The method draws on speech act signals and is designed to perform well with limited training data while generalizing across different topic domains. The work is published as an updated version on arXiv.