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Determining containment policy impacts on public sentiment during the pandemic using social media data

Author

Listed:
  • Prakash Chandra Sukhwal

    (a Institute of Systems Science, National University of Singapore, 119615 Singapore;)

  • Atreyi Kankanhalli

    (b Department of Information Systems and Analytics, National University of Singapore, 117417 Singapore)

Abstract

For effective pandemic response, policymakers need tools that can assess policy impacts in near real-time. This requires policymakers to monitor changes in public well-being due to policy interventions. Particularly, containment measures affect people’s mental well-being, yet changes in public emotions and sentiments are challenging to assess. Our work provides a solution by using social media posts to compute salient concerns and daily public sentiment values as a proxy of mental well-being. We demonstrate how public sentiment and concerns are impacted by various containment policy sub-types. This approach provides key benefits of using a data-driven approach to identify public concerns and provides near real-time assessment of policy impacts by computing daily public sentiment based on postings on social media.

Suggested Citation

  • Prakash Chandra Sukhwal & Atreyi Kankanhalli, 2022. "Determining containment policy impacts on public sentiment during the pandemic using social media data," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(19), pages 2117292119-, May.
    • Handle: RePEc:nas:journl:v:119:y:2022:p:e2117292119
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    Citations

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    Cited by:

    1. Hartmann, Jochen & Heitmann, Mark & Siebert, Christian & Schamp, Christina, 2023. "More than a Feeling: Accuracy and Application of Sentiment Analysis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 75-87.
    2. Damian Clarke & Pilar Larroulet & Daniel Paila~nir & Daniela Quintana, 2022. "Schools as a Safety-net: The Impact of School Closures and Reopenings on Rates of Reporting of Violence Against Children," Papers 2206.14612, arXiv.org.

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