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Analysis of Quote Retweets for COVID-19 State of Emergency Related Tweets Posted from Prefectural Governors’ Accounts in Japan

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Information Technology in Disaster Risk Reduction (ITDRR 2021)

Abstract

The novel coronavirus disease (COVID-19) pandemic has seriously affected countries all over the world. In Japan, a state of emergency has been declared several times in some prefectures. Information related to the spread of infection is provided to the public via central or local government websites and social media accounts. In particular, some prefectural governors have used Twitter accounts to provide information related to the pandemic, and this use of social media has been attracting attention. One of the advantages of Twitter is its ability to disseminate information instantly. In order to prevent the spread of infection, it is desirable to respond to changes in the situation and provide information in a timely manner. In this study, we focused on three Twitter accounts used by prefectural governors in Japan and aimed to clarify users’ reactions to posts (tweets) related to the state of emergency posted from those accounts. We collected quote retweets for the top quote-retweeted tweets posted between January 1, 2020, and July 31, 2021, and classified them as either positive or negative.

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References

  1. Imran, M., Castillo, C., Diaz, F., Vieweg, S.: Processing social media messages in mass emergency: a survey. ACM Comput. Surv. 47(4), 67 (2015). https://doi.org/10.1145/2771588

  2. Uchida, O., Utsu, K.: Utilization of social media at the time of disaster. IEICE Fundam. Rev. 13, 4 (2020). https://doi.org/10.1587/essfr.13.4_301. (in Japanese)

  3. Banda, J.M., et al.: A Large-Scale COVID-19 Twitter chatter dataset for open scientific research—an international collaboration. Epidemiologia 2021 2(3), 315–324 (2021). https://doi.org/10.3390/epidemiologia2030024

  4. Xue, J., et al T.: Twitter discussions and emotions about the COVID-19 pandemic: machine learning approach. J. Med. Internet Res. 22(11), e20550 (2020). https://doi.org/10.2196/20550

  5. Yoshida, M.: The state of social media during the COVID-19 pandemic –Japan’s situation, research trends and public datasets–. Trans. Jpn. Soc. Artif. Intell. 35, 5 (2020). https://doi.org/10.11517/jjsai.35.5_644. (in Japanese)

  6. Toriumi, F., Sakaki, T., Yoshida, M.: Social emotions under the spread of COVID-19 using social media. Trans. Jpn. Soc. Artif. Intell. 35, 4 (2020). https://doi.org/10.1527/tjsai.F-K45. (in Japanese)

  7. Yomoda, Y.: Concerns and stress caused by the novel coronavirus disease (COVID-19) pandemic: a quantitative text analysis of Twitter data. Jpn. J. Phys. Educ. Health Sport Sci. 65, 757–774 (2020). https://doi.org/10.5432/jjpehss.20048. (in Japanese)

  8. Yousefinaghani, S., Dara, S., Mubareka, S., Papadopoulos, A., Sharif, A.: An analysis of COVID-19 vaccine sentiments and opinions on Twitter. J. Infect. Dis 108, 256–262 (2021). https://doi.org/10.1016/j.ijid.2021.05.059

    Article  Google Scholar 

  9. Lyu, J.C., Han, E.L., Luli, G.K.: COVID-19 vaccine-related discussion on Twitter: topic modeling and sentiment analysis. J. Med. Internet Res. 23, 6 (2021). https://doi.org/10.2196/24435

    Article  Google Scholar 

  10. Haman, M.: The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic. Heliyon 6, e05540 (2020). https://doi.org/10.1016/j.heliyon.2020

  11. Rufai, S.R., Bunce, C.: World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis. J. Public Health. 42(3), 510–516 (2020). https://doi.org/10.1093/pubmed/fdaa049

    Article  Google Scholar 

  12. Dwianto, R.A., Nurmandi, A., Salahudin, S.: The sentiments analysis of donald trump and Jokowi’s Twitters on Covid-19 policy dissemination. Webology. 8(1), 389–405 (2021). https://doi.org/10.14704/WEB/V18I1/WEB18096

    Article  Google Scholar 

  13. Qodir, Z., Zahra, A.A., Nurmandi, A., Jubba, H., Hidayati, M.: The role of the leader in a pandemic: government communication to induce a positive perspective among the public concerning the COVID-19 outbreak. J. Critic. Rev. 7(15), 27–35 (2020). https://doi.org/10.31838/jcr.07.15.05

    Article  Google Scholar 

  14. Okazaki, A., Uchida, O., Utsu, K.: Analysis of Tweets related to COVID-19 posted by accounts of prefectural governors in Japan. IEICE Techn. Rep. 120(324), LOIS2020-26, 21–26 (2021). (in Japanese)

    Google Scholar 

  15. NHK. https://www3.nhk.or.jp/news/special/coronavirus/

  16. Twitter API v2. https://developer.twitter.com/en/docs/twitter-api/early-access

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Acknowledgments

This research was supported by JSPS KAKENHI Grant Number 18K11553.

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Correspondence to Keisuke Utsu .

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Utsu, K., Yagi, N., Fukushima, A., Takemori, Y., Okazaki, A., Uchida, O. (2022). Analysis of Quote Retweets for COVID-19 State of Emergency Related Tweets Posted from Prefectural Governors’ Accounts in Japan. In: Sasaki, J., Murayama, Y., Velev, D., Zlateva, P. (eds) Information Technology in Disaster Risk Reduction. ITDRR 2021. IFIP Advances in Information and Communication Technology, vol 638. Springer, Cham. https://doi.org/10.1007/978-3-031-04170-9_8

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  • DOI: https://doi.org/10.1007/978-3-031-04170-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04169-3

  • Online ISBN: 978-3-031-04170-9

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