2021 年 99 巻 p. 15-27
This paper aimed to investigate the social division in the United States by analyzing news content and quantity of reports, focusing on the New York Times articles with the keywords “covid 19 divide” between January 1, 2020 to March 15, 2021. This study examined the volume of coverage and the social context behind each article, referring to extraction lists of keywords and proper nouns (personal name, organization name, place name). As a concrete method, this study used the newspaper article database and natural language analysis system provided by ProQuest. The results indicated that the response to COVID-19 and the social division become a major issue during the presidential election period. In addition, the results revealed that articles related to political division associated with the presidential and primary elections accounted for 30.8% of the total articles. Furthermore, 22.7% of the articles reported division due to economic disparity, which affected people’s daily lives, while 18.6% of the articles reported division between ethnic groups and countries of origin against the background of racial discrimination against people of African, Hispanic, and Asian descent. In addition, division related to education associated with disparities in the information environment and media literacy was 7.5%, division between occupations regarding the degree of influence of COVID-19 was 6.6%, and division between urban and rural areas was 3.5%, information disparity was 3.0%, intergenerational division was 2.2%, religious division was 2.0%, gender division was 1.7%, and cultural division was 1.4%. This research demonstrated that the presence of various reports on social division in the New York Times during the COVID-19 pandemic.