A Study on Gradient of Copyright Duty of Care for E-Commerce Platforms under Algorithmic Recommendation

本文尝试探讨算法推荐技术下电商平台的版权注意义务梯度化问题。通过梳理现有法律框架与司法实践中的困境，提出基于算法场景类型化分级的义务分层标准，并探讨相应的民商法动态适配机制和制度实施路径。研究发现，梯度化义务理论在一定程度上弥补了传统判定模式的不足，通过将平台义务强度与技术控制力、商业收益关联，有助于平衡版权保护与技术创新。研究认为，构建具有前瞻兼容性的制度框架，如算法风险分级立法、避风港规则再造与行业共治机制，可能是解决算法推荐下电商平台版权治理困境的一种可行思路，有望为未来法律制度的完善提供有益参考。This paper tries to explore the graduated obligations of copyright duty of care of e-commerce platforms under algorithmic recommendation technology. By examining the existing legal framework and the difficulties in judicial practice, this paper proposes a tiered obligation standard based on the typology of algorithmic scenarios, and explores the corresponding dynamic adaptation mechanisms and implementation pathways in civil and commercial law. The study finds that the theory of graduated obligations makes up for the shortcomings of the traditional determination mode to a certain extent, and helps balance copyright protection and technological innovation by correlating the intensity of platform obligations with technological control and commercial revenue. The study concludes that the construction of an institutional framework with forward-looking compatibility, such as algorithmic risk grading legislation, the reengineering of safe haven rules and the industry’s co-regulation mechanism, may be a feasible way of thinking to solve the dilemma of copyright governance of e-commerce platforms under the algorithmic recommendation, and it is expected to provide a useful reference for the improvement of the future legal system.