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http://dx.doi.org/10.9708/jksci.2020.25.12.101

Keyword Analysis of COVID-19 in News Big Data : Focused on 4 Major Daily Newspapers  

Kwon, Seong-Wook (Dept. of Media Communication, Kyonggi University)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.12, 2020 , pp. 101-107 More about this Journal
Abstract
This paper aims to compare and analyze the major keywords according to the political orientation of progressive and conservative newspapers by utilizing the big data of the four major domestic daily newspapers related to COVID-19, which has entered a long-term war. To this end, 93,917 news reports from Jan. 20 to Sept. 15, 2020 were divided into four stages and the major keywords of the four newspapers were implemented and analyzed in WordCloud. According to the analysis, the conservative newspaper focused on the government's response, criticism, and China's responsibility by mentioning the keywords "government," "president," "state of affairs" and "mask" more than the progressive newspaper, while the progressive newspaper uses keywords that emphasize the seriousness of the disease and the occurrence of a dangerous situation. The Chosun Ilbo found that the use of various keywords during the massive outbreak of collective infections (2.18-5.15), and that the JoongAng Ilbo used keywords criticizing government policies in relation to reports of infectious diseases such as COVID-19, but also used keywords that emphasize the seriousness of diseases used by progressive newspapers and the occurrence of dangerous situations.
Keywords
News; Big Data; BigKinds; Keyword; COVID-19;
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