仇恨言论检测研究的社会效益是什么？一项系统综述
What is the social benefit of hate speech detection research? A Systematic Review
AI总结：
本文通过系统审查37篇文献中的48个仇恨言论检测系统，指出伦理框架缺失导致NLP研究与政策实践脱节，提出采用适当伦理框架可释放仇恨言论研究的社会影响潜力。
摘要：
尽管过去三十年中NLP对仇恨言论检测的研究呈指数级增长，但政策制定者和非营利组织的采纳或参与却极少。我们认为，伦理框架的缺失导致了当前实践与最佳实践之间的裂痕。通过采用适当的伦理框架，NLP研究人员可能释放仇恨言论研究的社会影响潜力。本立场论文基于审查来自不同会议和期刊的37篇出版物中相关的48个仇恨言论检测系统。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
