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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

Korea Journal

  • P-ISSN0023-3900
  • E-ISSN2733-9343
  • A&HCI, SCOPUS, KCI

Exploring Report Tendencies of Korean Media on Social Inequality and Unfairness during the COVID-19 Period: A Semantic Network Analysis of Newspaper Articles

Korea Journal / Korea Journal, (P)0023-3900; (E)2733-9343
2022, v.62 no.3, pp.149-177
https://doi.org/10.25024/kj.2022.62.3.149
이수범 (인천대학교)
송민호 (인천대학교)

Abstract

This study aims to explore the current status of social inequality and unfairness issues in Korea to which the media devoted attention during the COVID-19 pandemic. We collected 2,069 articles published by 49 media outlets in Korea between January 20, 2020 and November 24, 2020 that satisfied the conditions of “COVID-19 (AND) Inequality (OR) Unfair” and conducted keyword frequency and centrality analysis. We also performed semantic network analysis on 64 main keywords. Semantic network analysis was concurrently conducted with CONCOR analysis for a clear identification of the detailed issues. According to this analysis, the main issues were classified into five types, most of which were related to economic inequality and unfairness. Through this method, we identified issues related to inequality and unfairness in Korean society. We found that news reports focused on the economic sector disprove the notion that there is a relative lack of interest in new types of social inequality.

keywords
COVID-19, inequality, unfairness, semantic network analysis, CONCOR

Korea Journal