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Public sentiment towards economic sanctions in the Russia–Ukraine war

Author

Listed:
  • Vu M. Ngo
  • Toan L. D. Huynh
  • Phuc V. Nguyen
  • Huan H. Nguyen

Abstract

This paper introduces novel data on public sentiment towards economic sanctions based on nearly 1 million social media posts in 108 countries during the Russia–Ukraine war by using machine learning. We show the geographical heterogeneity between government stances and public sentiment. Finally, we show how political regimes, trading relationships and political instability can predict how people perceive this war.

Suggested Citation

  • Vu M. Ngo & Toan L. D. Huynh & Phuc V. Nguyen & Huan H. Nguyen, 2022. "Public sentiment towards economic sanctions in the Russia–Ukraine war," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(5), pages 564-573, November.
    • Handle: RePEc:bla:scotjp:v:69:y:2022:i:5:p:564-573
    DOI: 10.1111/sjpe.12331
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    References listed on IDEAS

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    Cited by:

    1. Wang, Min & Su, Yuquan, 2023. "How Russian-Ukrainian geopolitical risks affect Chinese commodity and financial markets?," Finance Research Letters, Elsevier, vol. 56(C).

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