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Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption

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Information for a Better World: Normality, Virtuality, Physicality, Inclusivity (iConference 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13971))

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Abstract

As social media such as Twitter has become an important medium for disseminating information, it is essential to understand how the information diffusion on social media influences public adoption of vaccines. Based on the innovation diffusion theory, we construct a user and information quality indicator system for early adopters of COVID-19 vaccination by identifying their creation of user-generated content on social media. Machine learning approaches and text analysis methods are used to perform topic clustering and sentiment analysis on vaccination-related tweets on Twitter. Based on each country’s vaccination data in January 2021, the study examines the relationship between the quality of social media early adopters, and the quality of the information they publish with vaccine adoption by using the OSL regression model. The empirical results show that the total number of tests, the number of new COVID-19 cases, and the human development index have a significantly positive influence on vaccine adoption. Neutral emotions and offensive language of early adopters on social media have a significantly negative relationship with vaccine adoption. These interesting findings can help governments and public health officials understand early adopters' perceptions of vaccines and play an important role in targeted policy interventions.

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Notes

  1. 1.

    http://news.cnr.cn/native/gd/20210112/t20210112_525389026.shtml.

  2. 2.

    https://ourworldindata.org/covid-vaccinations?country=OWID_WRL.

  3. 3.

    https://github.com/owid/covid-19-data.

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (grant nos 71921002, 72174153, 71790612, and 71974202).

Author information

Authors and Affiliations

  1. School of Information Management, Wuhan University, Wuhan, 430072, China

    Ran Sun, Lu An & Gang Li

  2. Center for Studies of Information Resources, Wuhan University, Wuhan, 430072, China

    Lu An & Gang Li

Authors
  1. Ran Sun
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  2. Lu An
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  3. Gang Li
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Corresponding author

Correspondence to Lu An .

Editor information

Editors and Affiliations

  1. iSchool Organization, Berlin, Germany

    Isaac Sserwanga

  2. Victoria University of Wellington, Wellington, New Zealand

    Anne Goulding

  3. University of Missouri, Chicago, IL, USA

    Heather Moulaison-Sandy

  4. University of South Australia, Adelaide, SA, Australia

    Jia Tina Du

  5. University of Porto, Porto, Portugal

    António Lucas Soares

  6. Monash University, Clayton, VIC, Australia

    Viviane Hessami

  7. University of Tennessee at Knoxville, Knoxville, TN, USA

    Rebecca D. Frank

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Sun, R., An, L., Li, G. (2023). Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption. In: Sserwanga, I., et al. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. iConference 2023. Lecture Notes in Computer Science, vol 13971. Springer, Cham. https://doi.org/10.1007/978-3-031-28035-1_25

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  • DOI: https://doi.org/10.1007/978-3-031-28035-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28034-4

  • Online ISBN: 978-3-031-28035-1

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