Analysis of Differences by Period and Type of Newspaper Articles Related to COVID-19 Using Topic Modeling

Abstract

Newspaper articles are text data that record major issues or events that occur in the society we live in. Analyzing newspaper article text can derive interesting patterns of social phenomena. In this paper, topic modeling analysis was conducted by dividing the text of COVID-19-related newspaper articles by article writing period and newspaper type, and its meaning and implications were derived from a social and technical perspective.BR Texts of COVID-19-related articles were collected from Bigkinds, which provides news articles from various newspapers published in Korea, basic text analysis and major topics were extracted to examine major issues and countermeasures of COVID-19. The extracted topics were divided into the article writing period (2021 and 2022) and the newspaper type (national and local newspapers), and some implications were derived accordingly. First, the main topics of COVID-19-related news articles were