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The emotions for COVID-19 vaccine: Insights from Twitter analytics about hesitancy and willingness for vaccination

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  • Singh, Shiwangi
  • Dhir, Sanjay
  • Sushil,
Abstract
The declaration by the World Health Organization and government-initiated actions by different countries for the COVID-19 vaccine have led to the rapid evolution of sentiments on various social media platforms. Real-time data related to vaccination has grown the need to anticipate the changes in vaccine uptake. Using Twitter dataset, the study models different emotions and their associated word. The emotions are majorly classified into hesitancy and willingness for vaccination. The study categorizes the tweets into pre-launch, post-launch, and booster doses of the COVID-19 vaccine. Based on comparative analysis, most sentiments were related to hesitancy for vaccination during pre-launch. In post-launch, the majority of sentiments were oriented towards willingness for vaccination. However, during the booster dose, the sentiments were oriented toward happy, adequate, and free emotions. Over the time period, the willingness of the COVID-19 vaccine has improved. The practitioners and policymakers can obtain real-time sentiments based on this approach and strategize the long-term vaccination policy for COVID-19 and other vaccination programs.

Suggested Citation

  • Singh, Shiwangi & Dhir, Sanjay & Sushil,, 2024. "The emotions for COVID-19 vaccine: Insights from Twitter analytics about hesitancy and willingness for vaccination," Journal of Policy Modeling, Elsevier, vol. 46(5), pages 964-984.
    • Handle: RePEc:eee:jpolmo:v:46:y:2024:i:5:p:964-984
    DOI: 10.1016/j.jpolmod.2024.05.005
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    1. Barrera, Emiliano Lopez & Miljkovic, Dragan, 2022. "The link between the two epidemics provides an opportunity to remedy obesity while dealing with Covid-19," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 280-297.
    2. Rao, H. Raghav & Vemprala, Naga & Akello, Patricia & Valecha, Rohit, 2020. "Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management," International Journal of Information Management, Elsevier, vol. 55(C).
    3. Goel, Rajeev K. & Nelson, Michael A. & Goel, Viraat Y., 2021. "COVID-19 vaccine rollout—scale and speed carry different implications for corruption," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 503-520.
    4. De Rosis, Sabina & Lopreite, Milena & Puliga, Michelangelo & Vainieri, Milena, 2021. "The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis," Health Policy, Elsevier, vol. 125(8), pages 987-994.
    5. Adarov, Amat & Guénette, Justin Damien & Ohnsorge, Franziska, 2022. "Another legacy of the COVID-19 pandemic: Income divergence," Journal of Policy Modeling, Elsevier, vol. 44(4), pages 842-854.
    6. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
    7. Santolini, Raffaella, 2023. "The COVID-19 green certificate’s effect on vaccine uptake in French and Italian regions," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 1036-1057.
    8. Yun-A Sung & Kyung-Won Kim & Hee-Ju Kwon, 2020. "Big Data Analysis of Korean Travelers’ Behavior in the Post-COVID-19 Era," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    9. Funke, Michael & Ho, Tai-kuang & Tsang, Andrew, 2023. "Containment measures during the COVID pandemic: The role of non-pharmaceutical health policies," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 90-102.
    10. Rathore, Ashish Kumar & Ilavarasan, P. Vigneswara, 2020. "Pre- and post-launch emotions in new product development: Insights from twitter analytics of three products," International Journal of Information Management, Elsevier, vol. 50(C), pages 111-127.
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