Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context
Mladen Karan, Jan Šnajder · 2019
We address the task of automatically detecting toxic content in user generated texts.We focus on exploring the potential for preemptive moderation, i.e., predicting whether a particular conversation thread will, in the future, incite a toxic comment.Moreover, we perform preliminary investigation of whether a model that jointly considers all comments in a conversation thread outperforms a model that considers only individual comments.Using an existing dataset of conversations among Wikipedia contributors as a starting point, we compile a new large-scale dataset for this task consisting of labeled comments and comments from their conversation threads.