摘要
Abstract
The proliferation of short video addiction is closely associated with the deep-seated application of intelligent recommen-dation algorithms,emerging as a significant issue affecting individual development and social governance.Intelligent recommenda-tion algorithms continuously capture users′attention through the technical closed-loop of"data profiling—enhanced push—instant feedback",thereby inducing systemic public health risks.The current governance framework shows remarkable lag at the algorith-mic level,mainly manifested in vague criteria for algorithmic liability determination,insufficient legislation,and fragmented regu-latory mechanisms.Therefore,the governance of intelligent recommendation algorithms in short video addiction should adopt a laddered governance path based on technical characteristics,guided by social impacts,and guaranteed by legal responses:at the legal level,clarify the standards for identifying addiction,and establish the algorithm risk classification and three-party liability system;at the regulatory level,establish a dynamic monitoring mechanism for algorithms,and implement regulatory sandboxes and stepwise interventions;at the multi-stakeholder co-governance level,improve industry self-regulation,smooth channels for public participation,and promote the alignment of international rules.It is expected to provide practical approaches for tackling algorithm-driven addiction and offer paradigmatic reference for the legal regulation of technological risks in the digital era.关键词
短视频/沉迷/智能推荐算法/法律规制/多元共治Key words
short video/addiction/intelligent recommendation algorithm/legal regulation/multi-stakeholder governance分类
政治法律
