算法推荐下的信息茧房与大学生身体意象：影响机制与未来展望

Algorithm-Recommended Information Cocoons and College Students’ Body Image: Mechanisms of Influence and Future Prospects

摘要: 随着自媒体生态的发展，以抖音、小红书等为代表的社交媒体平台已成为数字生活的重要场域。各媒体平台依托算法推荐技术，能够精准分发信息以及即时反馈，这一互动机制迅速成为信息传播的主流模式。在提升信息传播效率的同时，催生了“信息茧房”这一现象。本文将从身体意象的视角出发，系统梳理身体意象内涵与理论基础，以及信息茧房的形成机制，重点分析信息茧房对大学生身体意象的多方面影响，即上行社会比较的持续激活、自我客体化的循环强化、理想美内化的认知固化。在此基础上，提出未来研究可从认知神经机制、算法推荐相关的干预路径、以及算法抵抗策略等方向深入，以期为理解算法时代大学生身体意象的形成规律及健康干预提供参考。

Abstract: With the development of the self-media ecosystem, social media platforms represented by Douyin and Xiaohongshu have become important arenas of digital life. Relying on algorithmic recommendation technology, various media platforms can accurately distribute information and provide instant feedback, and this interactive mechanism has quickly become the mainstream mode of information dissemination. While improving the efficiency of information transmission, it has also given rise to the phenomenon of the “information cocoon”. This article starts from the perspective of body image, systematically summarizes the connotations and theoretical foundations of body image, as well as the formation mechanism of the information cocoon, and focuses on analyzing the multifaceted effects of the information cocoon on college students’ body image, namely the continuous activation of upward social comparison, the cyclical reinforcement of self-objectification, and the cognitive consolidation of internalized ideal beauty. On this basis, the article proposes that future research can delve into directions such as cognitive neural mechanisms, intervention paths related to algorithmic recommendations, and algorithm resistance strategies, aiming to provide references for understanding the formation patterns of college students’ body image and health interventions in the algorithm era.