新冠肺炎疫情语境中多元媒介的微博话语表达

Multiple Media Discourses on the Covid-19 Pandemic:Evidence from Weibo Data

本文使用隐性主题分析、社会网络分析和多元对应分析等方法,通过对新冠肺炎疫情中活跃传统媒体账号微博的内容分析,考察其中与新冠肺炎相关的主题、相关报道话语随时间的变化,不同类型的媒介主体是否存在表达差异。结果显示,这些微博在内容上既呈现了宏观叙事,也包括了微观话语,随着时间的变化有着明显的阶段性差异,而且媒体之间有着鲜明的内容和风格差异性。本研究为深入研究传统媒体和社交媒体之间的复杂关系提供了参考。

Employing latent thematic analysis,social network analysis,and multiple correspondence analysis,this study analyzed the tweets by traditional media institutes on the microblog platform.Results revealed the evolution of the discourses across time,as well as significant differences between varying types of media.The study sheds light on the complex relationship between traditional media and social media,particularly in the context of public health emergencies.