社交平台算法个性化推荐模式下用户个人信息保护研究

Research on the Protection of Users’ Personal Information under the Personalized Recommendation Model of Social Media Algorithms

摘要: 随着移动互联网的深度普及，算法个性化推荐已成为社交平台信息分发的主要方式。算法个性化推荐技术使得用户在海量信息中快速获取所需内容的同时，使得用户个人信息被大规模收集、整合与利用，从而引发算法推荐与个人信息保护之间的冲突，集中表现为信息收集的隐蔽化与过度化、数据滥用难监管与算法黑箱难解释、信息主体对自身信息控制能力的持续减弱。综合考虑各方面因素来看，造成上述冲突的根源主要在于个人信息双重属性引发的利益失衡、平台与用户地位不对等导致的“知情–同意”机制失灵，以及用户无意识留痕背后的信息素养缺失。对此，可以“信息自决”为核心重构用户赋权体系，落实便捷的拒绝与撤回机制；强化平台个人信息保护义务，打造以用户为中心的算法透明模式；培育用户信息安全素养，构建多元协同的救济机制。在技术发展与权利保障的动态平衡中引导算法向善，保障个人在线上虚拟空间的合法权利不受侵犯。

Abstract: With the widespread adoption of the mobile internet, algorithmic personalized recommendation has become the primary mode of information distribution on social platforms. While such technologies enable users to rapidly access desired content within vast amounts of information, they also facilitate the large-scale collection, integration, and utilization of users’ personal data. This has given rise to conflicts between algorithmic recommendation systems and personal information protection, manifesting primarily in the following aspects: the covert and excessive nature of data collection; the difficulty in regulating data misuse coupled with the opacity of algorithmic black boxes; and the progressive erosion of individuals’ ability to control their own personal information. When considering these factors comprehensively, the root causes of these conflicts lie in: the imbalance of interests arising from the dual nature of personal information; the failure of the “informed consent” mechanism due to the unequal power dynamics between platforms and users; and users’ lack of information literacy, which leads to inadvertent data traces. To address these issues, it is advisable to reconstruct the user empowerment framework around the principle of “information self-determination”, implementing user-friendly mechanisms for refusal and revocation; reinforce platforms’ obligations regarding personal information protection by establishing user-centered algorithmic transparency models; and cultivate users’ information security literacy by fostering diversified, collaborative remediation mechanisms. By striking a dynamic balance between technological advancement and rights protection, we can steer algorithms toward ethical objectives and safeguard the legitimate rights of individuals within the online virtual space.