@inproceedings{waseem-etal-2017-understanding,
    title = "Understanding Abuse: A Typology of Abusive Language Detection Subtasks",
    author = "Waseem, Zeerak  and
      Davidson, Thomas  and
      Warmsley, Dana  and
      Weber, Ingmar",
    editor = "Waseem, Zeerak  and
      Chung, Wendy Hui Kyong  and
      Hovy, Dirk  and
      Tetreault, Joel",
    booktitle = "Proceedings of the First Workshop on Abusive Language Online",
    month = aug,
    year = "2017",
    address = "Vancouver, BC, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/W17-3012/",
    doi = "10.18653/v1/W17-3012",
    pages = "78--84",
    abstract = "As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label. Based on work on hate speech, cyberbullying, and online abuse we propose a typology that captures central similarities and differences between subtasks and discuss the implications of this for data annotation and feature construction. We emphasize the practical actions that can be taken by researchers to best approach their abusive language detection subtask of interest."
}