| 会话分析视角下非正式信息交流主题与主题簇演化分析 |
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| 引用本文： | 王晓,马超,翟姗姗.会话分析视角下非正式信息交流主题与主题簇演化分析[J].图书情报工作,2021,65(17):91-100. |
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| 作者姓名： | 王晓 马超 翟姗姗 |
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| 作者单位： | 1. 华中师范大学信息管理学院 武汉 430079;2. 浙江师范大学经济与管理学院 金华 321004 |
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| 基金项目： | 本文系第68批中国博士后科学基金资助项目"基于社交媒体的突发事件事理图谱构建及风险预警研究"（项目编号：2020M682459）研究成果之一。 |
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| 摘 要： | 目的/意义] 针对当前非正式信息交流主题演化研究在分析层次和测度指标两方面存在的局限，提出一种具有通用性的演化分析方法，从微观和中观层面探究主题演化特征与规律。方法/过程] 引入会话分析理论，以新浪微博和知乎为例，通过对主题和主题簇运行过程进行分析，从会话内容和讨论方式两个维度揭示非正式信息交流演化特征与规律。同时，设计主题持续性计算判定方法，丰富主题演化的衡量标准。结果/结论] 主题演化分析结果显示新浪微博和知乎意见群体的发文主题存在明显偏重，且表明了意见群体参与社会焦点事件讨论中观点的主要切入角度；主题簇演化分析发现了新浪微博意见群体在一定范围内发散探索多元主题、知乎意见群体始终关注聚焦核心主题的讨论特点。两个社交媒体中意见群体在会话内容和讨论方式方面的区别，喻示了新浪微博和知乎在网络环境的非正式信息交流中主要承担的角色差异。
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| 关 键 词： | 非正式信息交流 主题演化 主题簇 会话分析 |
| 收稿时间： | 2021-02-03 |
| 修稿时间： | 2021-05-12 |
Evolutionary Analysis of Topic and Topic Clusters in Informal Communication from the Perspective of Conversation Analysis |
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| Wang Xiao,Ma Chao,Zhai Shanshan.Evolutionary Analysis of Topic and Topic Clusters in Informal Communication from the Perspective of Conversation Analysis[J].Library and Information Service,2021,65(17):91-100. |
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| Authors: | Wang Xiao Ma Chao Zhai Shanshan |
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| Institution: | 1. School of Information Management, Central China Normal University, Wuhan 430079;2. College of Economic and Management, Zhejiang Normal University, Jinhua 321004 |
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| Abstract: | Purpose/significance] Aiming at the limitations of current informal communication topic evolution research in both analysis level and measurement indicators, a universal evolution analysis method is proposed to explore the characteristics and patterns of topic evolution from micro and medium levels.Method/process] Introducing the conversation analysis theory, taking Sina Microblog and Zhihu as examples, this paper revealed the evolutionary characteristics and patterns of informal information communication from the two dimensions of conversation content and discussion style through the analysis of running process of topics and topic clusters. Meanwhile, this paper designed the method of calculating and judging the continuity of a topic and explored measurement standard of the topic evolution.Result/conclusion] The topic evolution analysis results show that the opinion group from Sina Microblog and Zhihu are obviously biased in topic content, and indicate the main perspectives of opinion group participating in the discussion of social focus event. The topic cluster evolution analysis find out that opinion group from Sina Microblog diversify and explore multiple topics in a certain range, while those from Zhihu always focus on the settled core topics. The difference in conversation content and discussion style between opinion groups in social media indicates the different role of Sina Microblog and Zhihu in informal information communication online. |
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| Keywords: | informal communication topic evolution topic cluster conversational analysis |
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