提出伦理框架可提升仇恨言论检测的社会影响力
What is the social benefit of hate speech detection research? A Systematic Review
- 基于48个系统37篇论文的综述分析
- 当前研究与政策实践脱节，因缺乏伦理框架
- 呼吁研究人员采用伦理框架以实现社会价值
过去三十年间，自然语言处理在仇恨言论检测领域的研究迅速增长，但政策制定者和非营利组织的采纳与参与却极少。本文认为，当前实践与最佳实践之间的脱节，主要源于缺乏适当的伦理框架。通过引入合适的伦理框架，自然语言处理研究人员有望释放仇恨言论研究的社会潜力。本立场论文基于对48个仇恨言论检测系统及其关联的37篇不同会议论文的系统性回顾。
原文摘要 · Abstract (English)
While NLP research into hate speech detection has grown exponentially in the last three decades, there has been minimal uptake or engagement from policy makers and non-profit organisations. We argue the absence of ethical frameworks have contributed to this rift between current practice and best practice. By adopting appropriate ethical frameworks, NLP researchers may enable the social impact potential of hate speech research. This position paper is informed by reviewing forty-eight hate speech detection systems associated with thirty-seven publications from different venues.
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