算法推荐下思想政治教育的挑战与应对  

Challenges and Countermeasures of Ideological and Political Education under Algorithm Recommendation

作　　者：曹玉佳 CAO Yu-jia(Nanjing Normal University,Nanjing 210000,China)

机构地区：[1]南京师范大学教师教育学院,江苏南京210000

出　　处：《黑龙江生态工程职业学院学报》2022年第3期87-92,共6页Journal of Heilongjiang Vocational Institute of Ecological Engineering

摘　　要：人工智能与大数据的不断发展,使得算法推荐凭借精准推送信息的优势成为传播思想政治教育的可用渠道。然而,算法推荐在为思想政治教育提供拓宽话语空间、延伸价值引领等机遇的同时,也给思想政治教育带来了算法裹挟的“资本逻辑”冲击思想政治教育话语地位、算法赋权的“网络文化”消解思想政治教育内容认同、算法定制的“圈层结构”弱化思想政治教育价值凝聚等挑战。对此,必须优化算法生态,营造清朗空间;规范算法运行,界定行为边界;主动拥抱算法,促进算法转型。With the continuous development of artificial intelligence and big data,algorithm recommendation has become an available channel for spreading ideological and political education by virtue of the advantage of accurately pushing information.However,algorithm recommendation not only provides opportunities for ideological and political education to broaden discourse space and extend value guidance,it also brings the impact of“capital logic”coerced by algorithm on the discourse status of Ideological and political education,“Network culture”of algorithmic empowerment dispels the identity of Ideological and political education content,the“circle structure”customized by the algorithm weakens the challenge to the value cohesion of Ideological and political education.In this regard,we must optimize the algorithm ecology and create a clear space;Standardize the operation of the algorithm and define the behavior boundary;actively embrace algorithms and promote algorithm transformation.

关 键 词：算法推荐 思想政治教育 主流媒体 商业媒体 

分 类 号：G461[文化科学—教育学]