A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
June 04, 2019 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
David Jurgens, Eshwar Chandrasekharan, Libby Hemphill
arXiv ID
1906.01738
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CL,
cs.CY
Citations
150
Venue
Annual Meeting of the Association for Computational Linguistics
Last Checked
3 months ago
Abstract
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.
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