Copyright Filtering Obligations of Algorithmic Recommendation Service Providers
Yiyang Wu · Journal of economics and law. · 2025
Algorithmic recommendation technology is widely used in various Internet industries. However, with the proliferation of user-generated content, the platform is not only providing personalized recommendation services, but also facing increasingly severe copyright infringement problems. This paper aims to explore the copyright filtering obligations of algorithmic recommendation service providers and analyze their legal responsibilities and practical challenges. Filter obligations derived from the lag of copyright infringement liability, is an important way of copyright infringement relief, combined with the relevant provisions of the copyright law, by exploring the practice of filtering mechanism, put forward the filtering obligation of civil relief, pay attention to "advance prevention + stop infringement", can promote the benign development of algorithm recommended technology and effectively respond to the regulation of the Internet industry.