摘要
[目的/意义]舆情衍生效应使得舆情更加复杂多变,增加了政府舆情治理的难度和风险。因此掌握网络舆情衍生话题的形成路径能够提高对衍生话题的预见性,从而及时有效地控制和应对衍生舆情。[方法/过程]文章构建了以舆情主体和客体为核心的衍生话题形成分析框架,通过采集20个代表性微博话题数据,利用模糊集定性比较分析法,探究衍生话题形成路径。[结果/结论]研究表明,衍生话题的形成存在4种组态路径,舆情主体要素在衍生话题的形成中发挥了主要作用,媒体和公众的参与是衍生话题形成的重要因素。
[Purpose/significance] The derivative effect of public opinion makes public opinion more complex and changeable,which increases the difficulty and risk of government public opinion governance.Therefore,mastering the formation path of derivative topics of network public opinions can improve the predictability of derivative topics,so as to timely and effectively control and respond to derivative public opinions.[Method/process] This article constructs an analysis framework for the formation of derivative topics with the subject and object of public opinion as the core.By collecting 20 representative microblog topic data,using the fuzzy set qualitative comparative analysis method,the formation path of derivative topics is explored.[Result/conclusion] Studies have shown that there are four configuration paths for the formation of derivative topics.The main elements of public opinion play a major role in the formation of derivative topics.The participation of the media and the public is an important factor in the formation of derivative topics.
出处
《情报理论与实践》
CSSCI
北大核心
2022年第4期162-169,共8页
Information Studies:Theory & Application
基金
国家社会科学基金后期资助项目“技术创新网络关系治理机制研究”(项目编号:20FGLB004)
国家自然科学基金面上项目“异构信息网络下技术供需匹配模型与对接路径研究”(项目编号:71974009)的成果之一。
关键词
网络舆情
衍生话题
形成路径
模糊集定性比较分析
network public opinion
derivative topics
formation paths
qualitative comparative analysis of fuzzy sets