What is the social benefit of hate speech detection research? A Systematic Review
It highlights a critical gap in applying NLP research to real-world social problems, though it is incremental as a review-based position paper.
This paper addresses the minimal uptake of NLP hate speech detection research by policymakers and non-profits, arguing that adopting ethical frameworks could enable its social impact potential.
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.