算法推荐视域下价值观优化路径研究

Research on the Optimization Path of Values Communication from the Perspective of Algorithmic Recommendation

摘要: 智媒时代，算法推荐深刻重塑了价值观的传播方式、传播路径与受众结构，使其传播呈现出由人工编辑向算法评价、由单向灌输向精准分发、由被动接受向主动互动的历史演变。然而，在传播效能提升的同时，算法推荐也带来技术逻辑失衡、内容生态偏移与用户主体弱化等现实困境，其深层根源在于商业利益驱动、制度规范滞后与技术局限。基于此，从技术优化、内容创新、主体塑造三个维度提出优化路径，在规范算法推荐有序发展的基础上实现价值观的有效传播。

Abstract: In the intelligent media era, algorithmic recommendation has profoundly reshaped the communication modes, paths and audience structure of values. Its dissemination has evolved from manual editing to algorithmic evaluation, one-way indoctrination to targeted distribution, and passive reception to active interaction. While boosting communication efficiency, algorithmic recommendation also gives rise to practical dilemmas including unbalanced technological logic, distorted content ecosystem and weakened user subjectivity. Such problems stem fundamentally from commercial interest-driven motives, lagging institutional norms and inherent technical limitations. Accordingly, this paper proposes optimization approaches from three dimensions: technological improvement, content innovation and subject empowerment, aiming to realize effective value communication while standardizing the sound development of algorithmic recommendation.