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作 者:刘佳[1] 黄敏豪 林玥 李贺[1] Liu Jia;Huang Minhao;Lin Yue;Li He(School of Business and Management Jilin University,Changchun 130022)
出 处:《图书情报工作》2025年第5期13-27,共15页Library and Information Service
基 金:国家社会科学基金项目“智媒时代公众算法素养的形成、测度与培育研究”(项目编号:23BTQ087)研究成果之一。
摘 要:[目的/意义]探究算法素养对推荐信息用户采纳行为的影响因素及作用机制,旨在为优化算法推荐系统的用户体验和提升算法决策能力提供参考。[方法/过程]基于FATE框架(fairness, accountability, transparency, explainability)、自我效能理论构建算法素养对推荐信息用户采纳行为影响的理论模型,采用结构方程模型(structural equation modeling, SEM)和模糊集定性比较分析(fuzzy set qualitative comparative analysis, fsQCA)进行实证分析。[结果/结论 ] SEM结果表明,算法感知及其子维度、算法适应能力和算法素养自我效能感对推荐信息的用户采纳行为有显著影响,而算法知识的影响则不显著。fsQCA分析发现8种正向影响用户采纳行为的组态,表明算法素养的构成要素需要协同作用方能发挥效果,其中感知算法透明度、感知算法公平性、算法适应能力、算法知识、算法素养自我效能、采纳态度是促成用户采纳行为的关键要素。[Purpose/Significance]This paper explores the key influencing factors and mechanism of algorithm literacy on users’adoption behavior of recommended information,aiming to provide a theoretical basis and practi-cal guidance for improving the user experience and user adoption of algorithm recommendation.[Method/Process]Based on the FATE model and self-efficacy theory,a theoretical model of the influence of algorithm literacy on us-ers’adoption behavior of recommended information was constructed,and empirical analyses were conducted with SEM and fsQCA.[Result/Conclusion]The SEM results indicate that algorithm perception and its sub-dimensions,algorithm skills,and algorithm literacy self-efficacy have a significant influence on users’adoption behavior of rec-ommended information,while the algorithm knowledge does not.The fsQCA analysis reveals 8 configurations that positively affect users’adoption behavior,indicating that the constituent elements of algorithm literacy need to work synergistically to be effective.Among them,perceived algorithmic transparency,perceived algorithmic fairness,al-gorithm skills,algorithm knowledge,algorithm literacy self-efficacy,and adoption attitude are the key factors con-tributing to users’adoption behavior.
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