文献类型：期刊文献

英文题名：Algorithmic meta-capital and the Narrative Policy Framework

作者：Ling, Xiaoxu[1];Yan, Siyuan[2]

机构：[1]Shanghai Univ Finance & Econ, Inst Accounting & Finance, Sch Accountancy, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai, Peoples R China

年份：2025

卷号：53

期号：4

起止页码：1108

外文期刊名：POLICY STUDIES JOURNAL

收录：;WOS:【SSCI(收录号:WOS:001449572400001)】；

基金：The authors would like to thank the editor Gwen Arnold and four anonymous reviewers for their insightful suggestions and support throughout the research.

语种：英文

外文关键词：algorithmic social power; meta-capital; narrative policy framework; public policy

摘要：This article contributes to the evolving discourse on the role of technology in public policy formulation by proposing an integration of algorithmic meta-capital (AMC) into the Narrative Policy Framework (NPF). Recognizing the profound impact of algorithms on shaping public narratives and policy discussions, this research attempts to unravel the complex ways in which the symbolic social power embedded in modern algorithmic systems influences the initiation and reception of public policies. Through examinations at the micro (individual), meso (group), and macro (cultural and institutional) levels, the study reveals how AMC impacts the dissemination and resonance of policy narratives, alters the dynamics within advocacy coalitions and interest groups, and contributes to the stability and evolution of algorithmic institutionalization. In presenting our arguments, we also provide real cases and ideas aimed at future empirical investigations.