推荐算法视域下网络思想政治教育的困与解  

Difficulties of and Solutions for Network Ideological and Political Education from the Perspective of Recommendation Algorithms

作　　者：黄元 全胥 婉婷 HUANG Yuanquan;XU Wanting(College of Marxism,China West Normal University,Nanchong,Sichuan,637009,China)

机构地区：[1]西华师范大学马克思主义学院,四川南充637009

出　　处：《江苏第二师范学院学报》2025年第1期46-52,124,共8页Journal of Jiangsu Second Normal University

基　　金：四川省社会科学研究“十三五规划”课题“新时代协同推进思政课的思想性、理论性和亲和力、针对性研究”(项目编号:SC20B158)。

摘　　要：推荐算法作为人工智能在信息传播领域的关键技术,与网络思想政治教育具有关联耦合性,是网络思想政治教育信息传播的重要渠道和新兴工具,具有鲜明的价值指向与意识形态属性;同时,网络思想政治教育可以赋予推荐算法价值观念以导向性。但是,推荐算法也带来了“信息茧房”“泛娱乐化”“去中心化”等一系列现实问题。面对这些挑战,网络思想政治教育应主动弥合网络圈层认知差异、推动算法内容体系优化、坚持主流价值驾驭算法,更好地实现推荐算法与网络思想政治教育相融合并激发网络思想政治教育自身活力,让网络思想政治教育发挥其在社会意识形态中的重要作用。As a key technology of artificial intelligence in the field of information dissemination,recommendation algorithm is closely associated withnetwork ideological and political education and has become an important channel and emerging tool for its information dissemination,with distinct va-lueorientation and ideological attributes.Meanwhile,online ideological and political education can give direction to value-based recommendation algorithm.However,recommendation algorithms have also brought a series of practical problems such as“information cocoons”,“pan-entertainment”,and“decentralization”.In the face of these challenges,network ideological and political education should take the initiative to bridge the cognitive differences among online communities,promote the optimization of algorithm content system,adhere to the mainstream value control algorithms,better integrate recommendation algorithm with network ideological and political education,and stimulate the vitality of network ideological and political education itself,so that network ideological and political education can play its important role in social ideology.

关 键 词：推荐算法 网络思想政治教育 现实困境 实践路径 

分 类 号：G641[文化科学—高等教育学]