北京邮电大学学报(社会科学版) ›› 2024, Vol. 26 ›› Issue (5): 92-100.doi: 10.19722/j.cnki.1008-7729.2024.0087

• 网络思政 • 上一篇    下一篇

算法推荐“遮蔽”主流意识形态的四重向度及应对思路

姚建军(1970—),男,山西夏县人,博士,教授,硕士生导师   

  1. 太原理工大学 马克思主义学院,山西 晋中  030600
  • 收稿日期:2024-07-03 出版日期:2024-10-31 发布日期:2024-10-30
  • 基金资助:
    2023年度国家社科基金高校思想政治理论课研究专项(23VSZ063)

Four Dimensions and Responses of Algorithmic Recommendation “Covering” Mainstream Ideology

  1. School of Marxism, Taiyuan University of Technology, Jinzhong 030600, China
  • Received:2024-07-03 Online:2024-10-31 Published:2024-10-30

摘要: 作为智媒时代新兴的技术范式,算法推荐以独特的运行机制重塑了主流意识形态的实践图景。当前,算法推荐广泛内嵌于信息生产、分配、交换与消费相互衔接的流通场域中,并以内隐意识形态属性、充斥流量资本逻辑、颠覆人际联结机制以及改变信息获取样态的方式“遮蔽”主流意识形态的逻辑布展,呈现出空间性、主体性、叙事性与价值性多维度的“遮蔽”样态。因此,应从技术“向善”、叙事“升维”、主体“破壁”以及价值“守望”等方面着手,以多元共建的应对思路提升主流意识形态的传导力、共情力、凝聚力与引领力,为主流意识形态安全保驾护航。

关键词: 算法推荐, 主流意识形态, 遮蔽, 解蔽

Abstract: As an emerging technology paradigm in the era of intelligent media, algorithmic recommendation has reshaped the practice of mainstream ideology with its unique operational mechanisms. At present, the algorithmic recommendation is widely embedded in the circulation field of information production, distribution, exchange and consumption, and it unfolds the logic of “covering” the mainstream ideology by hiding ideological attributes, being saturated with traffic capital logic, subverting interpersonal connectivity mechanisms, and altering the patterns of information acquisition. This results in multi-dimensional forms of “covering” characterized by spatiality, subjectivity, narrative, and valuation. To address these challenges, efforts should be made towards technical “goodness”, narrative “upgrading”, subject “boundary-breaking” and value “guarding”, and a diversified co-construction approach should be adopted to enhance the transmission, empathy, cohesion, and leadership of mainstream ideology, so as to guarantee its security.

Key words: algorithmic recommendation, mainstream ideology, covering, unveiling

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