摘要
[目的/意义]算法推荐技术的广泛应用,在满足网络用户信息需求的同时,也导致了“信息茧房”的产生。[方法/过程]在归纳技术创新论、利益驱动论与情感认同论3种生成机制的基础上,构建信息平台与用户双边演化博弈模型,并模拟仿真关键因素影响双方主体策略演化的路径。[结果/结论]算法推荐技术是算法时代“信息茧房”产生的根源。算法技术的日益成熟,信息平台使用算法推荐成本与用户接受算法推荐的损失成本不断下降,使得信息平台和用户对待算法推荐的策略选择由最初{放弃,抵触}演化为{使用,接受},最终导致“信息茧房”长期存在。据此提出优化算法推荐机制、健全平台算法监管体系、培育公民算法侵权防范意识的建议。
[Purpose/significance]The wide application of algorithm recommendation technology not only meets the information needs of network users,but also leads to the emergence of“information cocoon”.[Method/process]On the basis of summarizing the three generation mechanisms of technological innovation theory,interest-driven theory and emotional identity theory,a bilateral evolutionary game model between the information platforms and users is constructed,and the influence path of key factors on the evolution of strategies of both parties is simulated.[Result/conclusion]Algorithm recommendation technology is the source of“information cocoon”in the algorithm era.Due to the increasing maturity of algorithm technology,the cost of information platforms using algorithm recommendations and the loss cost of users accepting algorithm recommendations have continued to decline.This has caused information platforms and users to choose strategies for algorithm recommendations from the initial{abandon,resist}to{use,accept},eventually leading to the long-term existence of the“information cocoon”.Based on this,suggestions are put forward to optimize the algorithm recommendation mechanism,improve the platform algorithm supervision system and cultivate citizens’awareness of algorithm infringement prevention.
出处
《情报理论与实践》
北大核心
2023年第4期67-73,共7页
Information Studies:Theory & Application
基金
国家社会科学基金项目“信息茧房效应形成机理及治理机制研究”(项目编号:20BTQ045)
河南省高校青年骨干教师项目“面向数字技术的平台企业商业模式创新研究”(项目编号:2020GGJS127)的成果。
关键词
算法时代
信息茧房
算法推荐
演化博弈
algorithm era
information cocoon
algorithm recommendation
evolutionary game
