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COVID-19, Social Distancing and Social Media : Evidence from Twitter and Facebook Users in Korea

원문정보

초록

영어
The novel Coronavirus disease 2019 (COVID-19) is unprecedentedly changing the world since its outbreak in late 2019. Using the collected the data related to COVID-19 and the social media user data from a mobile application market research agency from January 25 to April 7, this study empirically examines the effect of the number of confirmed COVID-19 cases worldwide, the number news COVID-19, and the enforcement of social distancing measures on the daily active users (DAU) of two social media services – Twitter and Facebook – in South Korea. There are three important findings from the results of econometric analysis. First, the number of confirmed COVID-19 cases worldwide has a negative effect on the DAU of social media. Second, the number of COVID-19 news is negatively associated with the DAU of social media. Finally, the implementation of social distancing measures has no significant effect on the DAU of the social media. Theoretical implications and managerial guidelines are also discussed.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1. Tragic Events
2.2. Social Media
2.3. Social Distancing
Ⅲ. Hypotheses Development
3.1. Confirmed Case, News, and Social Media Usage
3.2. Social Distancing and Social Media Usage
Ⅳ. Research Setting
4.1. Data Collection
4.2. Model specification and Measurement
Ⅴ. Data Analysis and Results
5.1. Main Result
5.2. Additional Analysis
Ⅵ. Discussion and Implications
6.1. Theoretical Implication
6.2. Practical Implication
Ⅶ. Conclusion

저자

  • Jin Seon Choe [ Research Fellow, Yonsei Business Research Institute, Yonsei University, Korea / Researcher, ICT Convergence Reserch Institute, Sookmyung Women's University, Korea ] Corresponding Author
  • Jaecheol Park [ Ph.D. Student, Sauder School of Business, University of British Columbia, Canada ]
  • Sojung Yoon [ Master’s Degree Student, School of Business, Yonsei University, Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658