引入、异化与驾驭:基于推荐算法的思想政治教育叙事风险与应对  

Introduction,Alienation and Control:Narrative Risks and Responses of Ideological and Political Education Based on Recommendation Algorithm

作　　者：黄世虎[1] 王许诺 HUANG Shihu;WANG Xunuo(School of Marxism,Hohai University)

机构地区：[1]河海大学马克思主义学院

出　　处：《河海大学学报(哲学社会科学版)》2025年第1期9-17,共9页Journal of Hohai University:Philosophy and Social Sciences

基　　金：江苏省社会科学基金项目(20JD013);河海大学中央高校基本科研业务费项目(B220207030)。

摘　　要：推荐算法以其强大的筛选和分发技术,深刻影响着思想政治教育叙事实践,成为当下思想政治教育叙事研究的热点问题。推荐算法的设计逻辑、运行机理契合思想政治教育叙事理念和规律,这是推荐算法给思想政治教育叙事带来新思路的可能性所在。引入推荐算法可以优化思想政治教育以人为中心的叙事逻辑,推进双向互动式的叙事方法,发展多维立体化的叙事结构。但是,作为思想政治教育叙事中的新变量和风险催化剂,推荐算法在流量与资本的裹挟下逐渐异化,给思想政治教育的叙事者、叙事对象、叙事内容和叙事场域带来新的风险,具体表现为推荐算法通过“算法把关”“算法茧房”“算法泛滥”“算法圈层”弱化叙事者权威、影响叙事对象认知、加剧低质内容传播、削弱叙事场域影响。为此,在思想政治教育叙事过程中必须主动驾驭推荐算法,通过批判与建构重塑叙事者权威,经过反思与提升打破叙事对象的“茧房”,注重规制与引导以净化叙事内容生态,利用发掘与“破壁”加强叙事场域文化建设,使推荐算法更好地赋能思想政治教育叙事。The design logic and operating mechanism of recommendation algorithms are in line with the narrative concepts and laws of ideological and political education,which is the possibility for recommendation algorithms to bring new ideas to the narrative of ideological and political education.Introducing recommendation algorithms can optimize the human centered narrative logic of ideological and political education,promote two-way interactive narrative methods,and develop multidimensional narrative structures.However,as a new variable and risk catalyst in the narrative of ideological and political education,recommendation algorithms are gradually alienated under the influence of traffic and capital,which also brings new risks to the narrators,narrative objects,narrative content,and narrative fields of ideological and political education.Specifically,recommendation algorithms weaken the authority of narrators,affect the cognition of narrative objects,intensify the dissemination of low-quality content,and weaken the influence of narrative fields through“algorithm gatekeeping”“algorithm cocoons”“algorithm flooding”and“algorithm circles”.Therefore,in the process of narrative in ideological and political education,it is necessary to actively control recommendation algorithms,reshape the authority of narrators through criticism and construction,break through the“cocoon”of narrative objects through reflection and improvement,pay attention to regulation and guidance to purify the narrative content ecology,and strengthen the cultural construction of the narrative field through excavation and breaking through walls,so that recommendation algorithms can better empower the narrative of ideological and political education.

关 键 词：思想政治教育叙事 思想政治教育方法 推荐算法 算法异化 叙事风险 

分 类 号：G64[文化科学—高等教育学]