摘要
[目的/意义]以中文社交媒体平台为数据源,基于用户时间心理账户的内隐结构探索Altmetrics数据生成机制,以期为中文Altmetrics数据的可用性辨识提供理论依据。[方法/过程]以用户行为相关理论为基础,运用时间心理账户理论,将中文社交媒体平台用户时间心理账户划分为信息获取时间心理账户、交流合作时间心理账户、个人发展时间心理账户3种内隐结构。结合社会认知理论构建中文社交媒体平台Altmetrics数据生成行为模型,采用结构方程模型验证各因素影响路径,应用模糊集定性比较分析归纳Altmetrics数据生成机制。[结果/结论]SEM分析结果表明,学习、兴趣正向影响信息获取时间心理账户、交流合作时间心理账户、个人发展时间心理账户;社群影响正向影响交流合作时间心理账户、个人发展时间心理账户;交流合作时间心理账户、个人发展时间心理账户正向影响Altmetrics数据生成行为。fsQCA分析发现4种Altmetrics数据生成机制,分别为“信息+个人+社会”型、“个人+社会”型、“以学习为主导的信息+社会”型、“以兴趣为主导的信息+社会”型,其中“个人+社会”型机制生成的Altmetrics数据不宜纳入评价计算。
[Purpose/Significance]Using Chinese social media platforms as data sources,this paper explores the generation mechanism of Altmetrics data based on the implicit structure of users’mental accounting of time,in order to provide a theoretical basis for identifying the availability of Chinese Altmetrics data.[Method/Process]Based on the theory of user behavior,this paper applied the theory of mental accounting of time and divided users’mental accounting of time on Chinese social media platforms into three implicit structures:information acquisition mental accounting,communication and cooperation mental accounting,and personal development mental accounting.It constructed Altmetrics data generation behavior model on Chinese social media platforms based on social cognitive theory.Then it used structural equation model to verify the influence paths of various factors and applied fuzzy set qualitative comparative analysis to induce the Altmetrics data generation mechanism.[Result/Conclusion]SEM analysis results indicate that learning and interest have a positive impact on the information acquisition mental accounting,communication and cooperation mental accounting,and personal development mental accounting.Community influence has a positive impact on communication and cooperation mental accounting,as well as personal development mental accounting.Communication and cooperation mental accounting and personal development mental accounting have a positive impact on Altmetrics data generation behavior.FsQCA analysis reveals four types of Altmetrics data generation mechanisms,namely“information+individual+society”type,“individual+society”type,“learning led information+society”type,and“interest led information+society”type.Among them,Altmetrics data mechanism,generated by the“individual+society”,is not suitable for evaluation calculation.
作者
王玥
张东鑫
韩毅
Wang Yue;Zhang Dongxin;Han Yi(Business College of Southwest University,Chongqing 402460;College of Computer and Information Science,Southwest University,Chongqing 400715)
出处
《图书情报工作》
CSSCI
北大核心
2024年第20期118-130,共13页
Library and Information Service
基金
国家社会科学基金项目“开放科学视域下中文Altmetrics数据的生成机制与可用性评估研究”(编号:22BTQ059)研究成果之一。