基于认知同化学习理论的在线健康社区知识共创机理研究  

Research on Knowledge Co-creation Mechanism of Online Health Communities Based on Cognitive Assimilation Learning Theory

作　　者：易明[1,2] 许炜卓 周阳 李晗 Yi Ming;Xu Weizhuo;Zhou Yang;Li Han(Data Governance and Intelligent Decision-Making Research,Center at Central China Normal University,Key Research Institute of Humanities and Social Sciences of Hubei Province,Wuhan 430079;School of Information Management,Central China Normal University,Wuhan 430079)

机构地区：[1]湖北省高校人文社会科学重点研究基地华中师范大学数据治理与智能决策研究中心,武汉430079 [2]华中师范大学信息管理学院,武汉430079

出　　处：《情报学报》2025年第2期185-199,共15页Journal of the China Society for Scientific and Technical Information

基　　金：国家社会科学基金重点项目“在线健康社区知识共创机理及引导机制研究”(21ATQ006)。

摘　　要：本文将在线健康社区知识共创过程简化为疾病治疗方案的提出,由此将主意类发言作为群体认知分析的关键对象,利用认知同化学习理论揭示群体认知规律,由内及外映射在线健康社区知识共创行为机理。依据从认知同化学习理论提炼的隶属和派生两种典型的认知方式,通过对主意类发言数据的不同处理,构建了包含宏观和微观两个层面的群体认知分析框架。在宏观层面,以研讨帖中所有主意类发言数据作为分析对象,设计算法挖掘初始发言和主意类发言蕴含的隶属支点、派生支点、隶属认知、派生认知,提炼患者群体针对特定健康议题综合利用派生认知和隶属认知产生各种主意类发言的总体模式;在微观层面,以研讨帖中每个时间单元的所有群体发言数据作为分析对象,通过设计3个指标界定每个时间单元体现的整体认知方式,并结合生命周期模式探索隶属认知和派生认知的分布与转换规律。基于“与癌共舞”社区998个研讨帖的实证分析发现,在宏观层面,针对特定患者的健康议题,患者群体主要通过隶属认知驱动模式(15.93%)、派生认知驱动模式(49.30%)、隶属-派生同步驱动模式(22.75%)以及隶属-派生迭代驱动模式(12.02%)产生各种主意类发言。在微观层面,998个研讨帖的生命周期曲线可以提炼为逐步消退型(28.56%)、中间峰值型(26.35%)、尾部反弹型(45.09%) 3种生命周期模式;3种生命周期模式都是以隶属认知的群体发言为主,以派生认知的群体发言为辅,二者约为8∶2;隶属认知和派生认知8种认知表现的分布和转换与每个生命周期阶段新增主意类发言数量密切相关。This study simplified the knowledge co-creation process in online health communities to propose disease treatment plans.Accordingly,this study used idea-type speech as the key object of group cognition analysis and the assimilation theory of cognitive learning to reveal the law of group cognition,and mapped the behavioral mechanism of knowledge co-creation in online health communities from inside and outside.The core of the assimilation theory of cognitive learning is the extraction of two typical cognitive modes:subordinate and derived cognition.Based on these distinct cognitive modes,different treatments of idea-type speech have been employed to construct a framework for analyzing collective cog‐nition at macro and micro levels.At the macro level,collecting data about idea-type speeches from discussion posts was the analysis object.An algorithm was designed to mine the subordinate fulcrum,derived fulcrum,subordinate cognition,and derived cognition contained in the initial and idea-type speeches,and to extract the overall model of the patient group’s comprehensive use of the derived and subordinate cognition to produce various idea-type speeches for specific health is‐sues.At the micro level,the analysis focused on group speeches in each time unit of discussion posts.Three indicators were designed to define the cognitive mode reflected in each time unit,and the distribution and transformation rules of dependent and derived cognition were explored in combination with life cycle patterns.An empirical analysis of 998 discussion posts on“Dancing with Cancer”revealed significant findings.At the macro level,for specific health issues concerning patients,the patient groups predominantly generated various idea-type speeches through the subordinate cognition driven(15.93%),derived cognition-driven(49.30%),subordination cognition-derived cognition-synchronous driven(22.75%),and subordination cognition-derived cognition-iterative driven modes(12.02%).At the micro level,the life-cycle curve of 998 discussion posts

关 键 词：在线健康社区 知识共创 主意类发言 认知同化学习 隶属认知 派生认知 

分 类 号：R-05[医药卫生] G250.7[文化科学—图书馆学] G252