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浅探网络推荐算法的经济运作逻辑与社会影响

A Brief Discussion on the Economic Operation Logic and Social Impact of Network Recommendation Algorithms
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摘要 随着互联网与人工智能技术的愈发成熟,网络推荐算法作为两者之结合,已成为当今社会网络信息交互最主要的方法之一。推荐算法的经济运作逻辑的基础是适配于市场经济的资本逻辑,主要在于对信息需求侧的高度满足,从而广泛拉动话题热度并通过周边商品转化为可用资本,形成扩大再生产的循环链。信息需求侧的高度满足会带来产品供给侧的快速生长,也即刺激经济发展。然而推荐算法所带来的同质化信息会将人逐渐关入信息茧房,社会异质化现象加剧,导致网络社会的群体性分割,降低社会凝聚力,潜在激化了社会群体间矛盾。基于推荐算法目前对社会造成的影响具有两面性,除推动经济发展外,重视科技对社会意识的塑形也是网络空间治理的应有之义。 With the maturity of the Internet and artificial intelligence technology,the network recommendation algorithm,as a combination of the two,has become one of the most important methods of social network information interaction.The basis of the economic operation logic of the recommendation algorithm is the capital logic adapted to the market economy,which mainly lies in the high satisfaction of the information demand side,thereby widely driving the topic heat and converting the surrounding commodities into available capital,forming a circular chain of expanded reproduction.The high satisfaction of the information demand side will bring about the rapid growth of the product supply side,that is,stimulate economic development.However,the homogenized information brought by the recommendation algorithm will gradually lock people into the information cocoon,and the phenomenon of social heterogeneity will intensify,leading to the group segmentation of the network society,reducing social cohesion,and potentially intensifying conflicts between social groups.Based on the current impact of recommendation algorithms on society,there are two sides.In addition to promoting economic development,attaching importance to the shaping of social consciousness by technology is also the proper meaning of cyberspace governance.
作者 顾晓蕊 徐犇 Xiaorui Gu;Ben Xu(School of Public Administration,Guizhou University,Guiyang,Guizhou,551200)
出处 《管理科学与研究(中英文版)》 2022年第5期33-36,共4页 Management Science and Research
关键词 网络推荐算法 资本逻辑 消费模式 信息茧房 社会关系网络 Network Recommendation Algorithm Capital Logic Consumption Pattern Information Cocoon Room Social Relationship Network
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