Regulating and countering structural inequality on digital platforms

这个项目旨在寻找法律、道德、技术和商业上的机会来对抗网络上的不平等。它使用机器学习和定制数据收集工具来创建关于数字平台（包括搜索引擎、社交媒体、对等经济和新闻平台）如何帮助解决厌女症、种族主义和其他形式的结构性歧视的新知识。它利用这些知识来调查私营部门数字平台可以在多大程度上监督和规范其用户的行为，他们有什么责任避免助长歧视、仇恨、不容忍和滥用，以及应该如何制定法律以确保我们的数字环境更加平等和公平。

This project aims to find legal, ethical, technical, and commercial opportunities to counter inequality online. It uses machine learning and custom data collection tools to create new knowledge about how digital platforms—including search engines, social media, peer economy, and news platforms—can help to tackle misogyny, racism, and other forms of structural discrimination. It uses this knowledge to investigate the extent to which private sector digital platforms can be expected to monitor and regulate the actions of their users, what responsibilities they have to avoid contributing to discrimination, hatred, intolerance and abuse, and how the law should develop to ensure that our digital environment is more equal and fair.