论算法推荐机制下的“信息茧房”现象及其法律规制

On the “Information Cocoons” Phenomenon under Algorithm-Based Recommendation Mechanisms and Its Legal Regulation

摘要: 算法推荐机制已广泛运用于现代信息传播，在提升效率的同时，其“信息茧房”效应引发了严重的法学难题。本文从规制私权力的视角切入，将“信息茧房”定位于新型认知风险与信息市场失灵。文章首先深入剖析了“信息茧房”对用户知情权与选择权的侵犯，并归因于算法的“黑箱”本质和平台的“准公共权力”属性。进而，本文主张法律规制应以实现“算法公正性”和“个人可控性”为目标，并构建“算法可解释性原则”“信息均衡义务”及用户“反向推荐权”的理论框架，以期为规制数字时代的平台权力提供理论支撑。

Abstract: Algorithmic recommendation mechanisms have become deeply embedded in modern information dissemination. While enhancing efficiency, their “Information Cocoons” effect has raised serious legal challenges. This paper approaches the issue from the perspective of regulating private power, positioning the “Information Cocoons” as a novel cognitive risk and a failure of the information market. The article first thoroughly analyzes how information silos infringe upon users’ rights to information, choice, and free development of personality, attributing these violations to the “black box” nature of algorithms and the “quasi-public power” attributes of platforms. Subsequently, this paper argues that legal regulation should aim to achieve “algorithmic fairness” and “individual controllability”. It constructs a theoretical framework comprising the “principle of algorithmic explainability”, the “duty of information balance”, and the user’s “right to reverse recommendations”, seeking to provide theoretical support for regulating platform power in the digital age.