@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Understanding Abuse: A Typology of Abusive Language Detection Subtasks
%A Waseem, Zeerak
%A Davidson, Thomas
%A Warmsley, Dana
%A Weber, Ingmar
%Y Waseem, Zeerak
%Y Chung, Wendy Hui Kyong
%Y Hovy, Dirk
%Y Tetreault, Joel
%S Proceedings of the First Workshop on Abusive Language Online
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, BC, Canada
%F waseem-etal-2017-understanding
%X 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.
%R 10.18653/v1/W17-3012
%U https://aclanthology.org/W17-3012
%U https://doi.org/10.18653/v1/W17-3012
%P 78-84
Markdown (Informal)
[Understanding Abuse: A Typology of Abusive Language Detection Subtasks](https://aclanthology.org/W17-3012) (Waseem et al., ALW 2017)
ACL