电子商务平台算法推荐的潜在社会风险与治理路径

Potential Social Risks and Governance Paths Recommended by E-Commerce Platform Algorithm

摘要: 伴随着电商及信息技术的发展，算法推荐有助于电子商务平台提升用户体验并获得经济效益。但由于其具有的强大算法壁垒，会导致某些潜在社会风险存在，包括冲击主流价值观、信息茧房问题及算法歧视现象等负面社会风险，这些都导致了针对电子商务平台算法推荐进行治理的必要性。本文从多角度挖掘现有风险和问题的产生原因、机制及其影响，并相应地提出合理的解决措施。

Abstract: With the development of e-commerce and information technology, algorithm recommendation is helpful for e-commerce platform to improve user experience and obtain economic benefits. However, due to its powerful algorithm barrier, it will lead to some potential social risks, including negative social risks such as impacting mainstream values, information cocoon problems and algorithm discrimination, which all lead to the necessity of governance for algorithm recommendation of e-commerce platform. This paper explores the causes, mechanisms and effects of existing risks and problems from various angles, and puts forward reasonable solutions accordingly.