让语言学家与社区合作，用社会方法应对网络仇恨言论。
Stronger Together: Unleashing the Social Impact of Hate Speech Research
- 跳出技术方案，用社会研究推动真实改变
- 强调跨学科协作，促进数字包容性
- 适合政策制定者与社会活动家参考
互联网对边缘化群体而言既是机遇也是挑战。它既能跨越多重边界连接社群，也可能被用来传播仇恨、虚假信息和误导性内容，尤其在社交媒体上。本文主张将仇恨言论研究从既有的计算解决方案中转移出来，转而采用社会方法来构建社会层面的解决路径。正如语言学研究可为语言规划政策提供支持，语言学家与NLP研究者应利用对语言与社会关系的理解，减轻数字空间中反社会行为带来的新兴风险与危害。我们提出，语言学家与NLP研究者应与社区、倡导者、活动家及政策制定者协同合作，充分发挥语言学研究的社会潜力，推动公平的数字包容并缩小数字鸿沟。
原文摘要 · Abstract (English)
The advent of the internet has been both a blessing and a curse for once marginalised communities. When used well, the internet can be used to connect and establish communities crossing different intersections; however, it can also be used as a tool to alienate people and communities as well as perpetuate hate, misinformation, and disinformation especially on social media platforms. We propose steering hate speech research and researchers away from pre-existing computational solutions and consider social methods to inform social solutions to address this social problem. In a similar way linguistics research can inform language planning policy, linguists should apply what we know about language and society to mitigate some of the emergent risks and dangers of anti-social behaviour in digital spaces. We argue linguists and NLP researchers can play a principle role in unleashing the social impact potential of linguistics research working alongside communities, advocates, activists, and policymakers to enable equitable digital inclusion and to close the digital divide.
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