Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter
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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. Therefore, focusing policies toward economic stability is essential. Although the interest in prevention increased sinceApril in both countries, the general public’s relaxation regarding COVID-19 was also observed.
Abstract
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. Therefore, focusing policies toward economic stability is essential. Although the interest in prevention increased sinceApril in both countries, the general public’s relaxation regarding COVID-19 was also observed.
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