中文网络学术社区用户会话交互模式及其交互质量研究  

Examining Users’ Conversation Interaction Structure and Quality in the Chinese Online Academic Community

作　　者：张敏 姜冠兰 丁恒 Zhang Min;Jiang Guanlan;Ding Heng(School of Information Management,Central China Normal University,Wuhan 430079;College of Computer and Information Science,Southwest University,Chongqing 400715)

机构地区：[1]华中师范大学信息管理学院,武汉430079 [2]西南大学计算机与信息科学学院,重庆400715

出　　处：《情报学报》2022年第12期1314-1328,共15页Journal of the China Society for Scientific and Technical Information

基　　金：国家社会科学基金项目“网络学术社区的信息聚合与共享模式研究”(11CTQ038)。

摘　　要：聚焦小木虫社区用户会话交互的序列结构及交互质量,发现学术用户会话交互规律,为网络学术社区的用户交互服务完善提供参考,以期提升学术社区对用户科学研究工作的支撑价值。本研究综合运用定性内容编码、统计分析和序列分析等方法,对收集到的5个学科版块(无机非金属、量子化学、信息科学、医学、人文社科)的1485个发帖及7099条回帖进行挖掘分析。研究结果表明,学术社区用户会话交互存在问题澄清、回答扩充、问题协商3种交互模式。各学科用户知识建构主要处于知识发散、知识联结层次,具有互惠交互特征的回答扩充与问题协商序列更有可能达到较高的知识交互质量水平。由于学术社区用户会话交互具有动态性,用户会话交互过程很难被细致刻画,本研究采用的会话序列自动聚类方法为未来数字会话分析提供了新的方法和视角。This study elaborates the sequence structure and interaction quality of users ’ conversation interaction in Muchong Forum, with the aim of discovering the patterns of academic users’ conversation interactions and providing references for the improvement of interaction services, thereby enhancing the value of the academic community in supporting users’ scientific research work. Based on qualitative content coding and statistical and sequence analyses of 1485 posts and 7099 replies collected from five disciplines, including Inorganic Nonmetallic, Quantum Chemistry, Information Science,Medical, and Humanities and Social Sciences, this study found that question clarification, answer expansion, and question negotiation corresponded to the three conversation modes. The user knowledge construction of each discipline was mainly based on knowledge divergence and knowledge connection in this community. The answer expansion and question negotiation sequence with reciprocal interaction characteristics were more likely to achieve a higher level of knowledge interaction quality. Due to its protean nature, the dynamics of academic communities’ conversation process are difficult to capture in detail. Therefore, the empirical research settings may be elaborated further in future research by drawing on the potential of novel methods and perspectives, such as digital conversation analysis.

关 键 词：网络学术社区 用户会话交互行为 会话结构 知识建构 

分 类 号：G252[文化科学—图书馆学]