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Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter
관리자
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Date : 2022.02.28 |
Objectives: This study analyzed the perceptions and emotions of Korean and Japanese citizens regarding coronavirus disease2019 (COVID-19). It examined the frequency of words used in Korean and Japanese tweets regarding COVID-19 and thecorresponding changes in their interests. Methods: This cross-sectional study analyzed Twitter posts (Tweets) from February1, 2020 to April 30, 2020 to determine public opinion of the COVID-19 pandemic in Korea and Japan. We collected datafrom Twitter (https://twitter.com/), a major social media platform in Korea and Japan. Python 3.7 Library was used for datacollection. Data analysis included KR-WordRank and frequency analyses in Korea and Japan, respectively. Heat diagrams,word clouds, and rank flowcharts were also used. Results: Overall, 1,470,673 and 4,195,457 tweets were collected from Koreaand Japan, respectively. The word trend in Korea and Japan was analyzed every 5 days. The word cloud analysis revealed“COVID-19”, “Shinchonji”, “Mask”, “Daegu”, and “Travel” as frequently used words in Korea. While in Japan, “COVID-19”,“Mask”, “Test”, “Impact”, and “China” were identified as high-frequency words. They were divided into four categories: socialdistancing, prevention, issue, and emotion for the rank flowcharts. Concerning emotion, “Overcome” and “Support”increased from February in Korea, while “Worry” and “Anxiety” decreased in Japan from April 1. Conclusions: As a result ofthe trend, people’s interests in the economy were high in both countries, indicating their reservations on the economic downturn. |