@inproceedings{banko-etal-2020-unified,
title = "A Unified Taxonomy of Harmful Content",
author = "Banko, Michele and
MacKeen, Brendon and
Ray, Laurie",
editor = "Akiwowo, Seyi and
Vidgen, Bertie and
Prabhakaran, Vinodkumar and
Waseem, Zeerak",
booktitle = "Proceedings of the Fourth Workshop on Online Abuse and Harms",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.alw-1.16",
doi = "10.18653/v1/2020.alw-1.16",
pages = "125--137",
abstract = "The ability to recognize harmful content within online communities has come into focus for researchers, engineers and policy makers seeking to protect users from abuse. While the number of datasets aiming to capture forms of abuse has grown in recent years, the community has not standardized around how various harmful behaviors are defined, creating challenges for reliable moderation, modeling and evaluation. As a step towards attaining shared understanding of how online abuse may be modeled, we synthesize the most common types of abuse described by industry, policy, community and health experts into a unified typology of harmful content, with detailed criteria and exceptions for each type of abuse.",
}
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<abstract>The ability to recognize harmful content within online communities has come into focus for researchers, engineers and policy makers seeking to protect users from abuse. While the number of datasets aiming to capture forms of abuse has grown in recent years, the community has not standardized around how various harmful behaviors are defined, creating challenges for reliable moderation, modeling and evaluation. As a step towards attaining shared understanding of how online abuse may be modeled, we synthesize the most common types of abuse described by industry, policy, community and health experts into a unified typology of harmful content, with detailed criteria and exceptions for each type of abuse.</abstract>
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%0 Conference Proceedings
%T A Unified Taxonomy of Harmful Content
%A Banko, Michele
%A MacKeen, Brendon
%A Ray, Laurie
%Y Akiwowo, Seyi
%Y Vidgen, Bertie
%Y Prabhakaran, Vinodkumar
%Y Waseem, Zeerak
%S Proceedings of the Fourth Workshop on Online Abuse and Harms
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F banko-etal-2020-unified
%X The ability to recognize harmful content within online communities has come into focus for researchers, engineers and policy makers seeking to protect users from abuse. While the number of datasets aiming to capture forms of abuse has grown in recent years, the community has not standardized around how various harmful behaviors are defined, creating challenges for reliable moderation, modeling and evaluation. As a step towards attaining shared understanding of how online abuse may be modeled, we synthesize the most common types of abuse described by industry, policy, community and health experts into a unified typology of harmful content, with detailed criteria and exceptions for each type of abuse.
%R 10.18653/v1/2020.alw-1.16
%U https://aclanthology.org/2020.alw-1.16
%U https://doi.org/10.18653/v1/2020.alw-1.16
%P 125-137
Markdown (Informal)
[A Unified Taxonomy of Harmful Content](https://aclanthology.org/2020.alw-1.16) (Banko et al., ALW 2020)
ACL
- Michele Banko, Brendon MacKeen, and Laurie Ray. 2020. A Unified Taxonomy of Harmful Content. In Proceedings of the Fourth Workshop on Online Abuse and Harms, pages 125–137, Online. Association for Computational Linguistics.