Framing of Covid-19 Vaccine News on CNN Website

Muhammad Luhfi, Ansor Putra, A. Arman
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Abstract

This study is intended to analyze the form of Framing of Covid-19 vaccine new on CNN website based on Discourse Analysis perspective theory of Framing Analysis by Zhondang Pan & Gerald M. Kosicki. The objective of this research is “To describe how are the forms of framing of covid 19 vaccine news on CNN website”. This research used the descriptive qualitative method. The researcher used Zhondang Pan & Gerald M. Kosicki Framing Models to analyze the data. The source of the data in this research was taken from News on CNN Website. The data was collected through reading intensively, identifying and selecting, classifying, describing, and interpreting the data to get a complete conclusion of Framing Covid-19 Vaccine News on CNN Website by Zhondang Pan & Gerald M. Kosicki theory. The researcher analyzes six pieces of data or news from the CNN website. The result showed there are framing the researcher found based on four models of framing Pan & Kosicki namely: Syntactical Structure, Script Structure, Thematical Structure and Rhetorical Structure in six data or news from CNN website.  
CNN网站上的Covid-19疫苗新闻框架
本研究拟基于Pan zhongdang & Gerald M. Kosicki框架分析的话语分析视角理论,分析CNN网站新冠病毒疫苗框架的形式。本研究的目的是“描述CNN网站上的covid - 19疫苗新闻的框架形式”。本研究采用描述性定性方法。本研究采用Pan zhongdang & Gerald M. Kosicki框架模型对数据进行分析。本研究的数据来源来自CNN网站的News。通过精读、识别和选择、分类、描述和解释数据来收集数据,得到Pan zhongdang和Gerald M. Kosicki理论在CNN网站上框架Covid-19疫苗新闻的完整结论。研究人员分析了CNN网站上的6条数据或新闻。结果表明,研究者根据Pan & Kosicki的四种框架模型,即句法结构、脚本结构、主题结构和修辞结构,在CNN网站的6个数据或新闻中发现了框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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