算法推荐时代大学生政治认同的现实困境及优化策略

The Practical Dilemma and Optimization Strategy of College Students’Political Identity in the Era of Algorithmic Recommendation

算法推荐为大学生政治认同提供了一个全新的信息场景。算法推荐的用户体验的直观化、信息传播的差异性、信息接收的狭窄性、信息中介的支配性在一定程度上带来了大学生政治认同淡薄、政治认同分化、政治认同偏差、政治认同消解的现实困境。针对算法推荐带来的负面政治认同后果,需要采取多维度、多方面的策略来夯实算法推荐场域下大学生政治认同,通过优化价值引领工作、推动算法平台升级、提升个人算法素养、构建算法法律法规及监管机制的方式破除算法推荐时代大学生政治认同的现实困境。

Algorithmic recommendation provides a new information scene for college students’political identity.The visualization of user experience recommended by the algorithm,the difference of information transmission,the narrowness of information reception,and the dominance of information intermediary to some extent bring about the practical dilemma of weak political identity,political identity differentiation,political identity deviation of college students,and political identity dissolution.For these negative consequences brought about by algorithm recommendation,various strategies need to be taken to consolidate college students’political identity in the field of algorithm recommendation.By optimizing the value guidance,upgrading algorithm platform,improving personal algorithm literacy,constructing algorithm laws and regulations and supervision mechanism,the realistic dilemma of college students’political identity in the era of algorithm recommendation can be broken。