A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
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DOI：
10.18653/v1/p19-1357
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
David Jurgens;Eshwar Chandrasekharan;Libby Hemphill
中科院分区：
文献类型：
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作者：
David Jurgens;Eshwar Chandrasekharan;Libby Hemphill
在线虐待行为影响了数百万人，NLP社区试图通过开发检测虐待行为的技术来缓解这个问题。然而，目前的方法主要集中在对虐待的狭义定义上，以损害寻求确认和解决方案的受害者。在这份立场文件中，我们主张社会需要做出三项实质性的改变：(1)扩大我们的问题范围，以处理更微妙和更严重的虐待形式；(2)发展积极主动的技术，在虐待造成危害之前打击或遏制它；以及(3)在司法框架内重新努力，促进健康的社区。
Online abusive behavior affects millions and the NLP community has attempted to mitigate this problem by developing technologies to detect abuse. However, current methods have largely focused on a narrow definition of abuse to detriment of victims who seek both validation and solutions. In this position paper, we argue that the community needs to make three substantive changes: (1) expanding our scope of problems to tackle both more subtle and more serious forms of abuse, (2) developing proactive technologies that counter or inhibit abuse before it harms, and (3) reframing our effort within a framework of justice to promote healthy communities.