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Big Data Analysis of Media Reports Related to COVID-19

Author

Listed:
  • Ji-Hee Jung

    (Department of Business Administration, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 44610, Korea)

  • Jae-Ik Shin

    (Department of Distribution, Gyeongnam National University of Science and Technology, 33 Dongjin-Ro, Jinju, Gyeongnam 52725, Korea)

Abstract

COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government’s countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government’s response to the disease.

Suggested Citation

  • Ji-Hee Jung & Jae-Ik Shin, 2020. "Big Data Analysis of Media Reports Related to COVID-19," IJERPH, MDPI, vol. 17(16), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5688-:d:395533
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    References listed on IDEAS

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    2. Luo, Qiuju & Zhong, Dixi, 2015. "Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites," Tourism Management, Elsevier, vol. 46(C), pages 274-282.
    3. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
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    Cited by:

    1. Yoo, Nari & Jang, Sou Hyun, 2024. "Does social empathy moderate fear-induced minority blaming during the COVID-19 pandemic?," Social Science & Medicine, Elsevier, vol. 346(C).

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