@inproceedings{karan-snajder-2019-preemptive,
title = "Preemptive Toxic Language Detection in {W}ikipedia Comments Using Thread-Level Context",
author = "Karan, Vanja Mladen and
{\v{S}}najder, Jan",
editor = "Roberts, Sarah T. and
Tetreault, Joel and
Prabhakaran, Vinodkumar and
Waseem, Zeerak",
booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-3514/",
doi = "10.18653/v1/W19-3514",
pages = "129--134",
abstract = "We address the task of automatically detecting toxic content in user generated texts. We fo cus 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."
}
Markdown (Informal)
[Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context](https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-3514/) (Karan & Šnajder, ALW 2019)
ACL