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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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    Citations

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    Cited by:

    1. Benchimol, Jonathan & Palumbo, Luigi, 2024. "Sanctions and Russian online prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 225, pages 483-521.
    2. Ngo, Vu Minh & Nguyen, Phuc Van & Hoang, Yen Hai, 2024. "The impacts of geopolitical risks on gold, oil and financial reserve management," Resources Policy, Elsevier, vol. 90(C).
    3. Abakah, Emmanuel Joel Aikins & Adeabah, David & Tiwari, Aviral Kumar & Abdullah, Mohammad, 2023. "Effect of Russia–Ukraine war sentiment on blockchain and FinTech stocks," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Mihai Alexandrescu, 2024. "Beyond Geopolitics: Unraveling Public Support for Economic Sanctions in the B9 States at the Beginning of the Ukrainian War (2022)," SAGE Open, , vol. 14(3), pages 21582440241, August.
    5. Ngo, Vu Minh & Van Nguyen, Phuc & Nguyen, Huan Huu & Thi Tram, Huong Xuan & Hoang, Long Cuu, 2023. "Governance and monetary policy impacts on public acceptance of CBDC adoption," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2024. "Recession fears and stock markets: An application of directional wavelet coherence and a machine learning-based economic agent-determined Google fear index," Research in International Business and Finance, Elsevier, vol. 72(PA).
    7. Wang, Min & Su, Yuquan, 2023. "How Russian-Ukrainian geopolitical risks affect Chinese commodity and financial markets?," Finance Research Letters, Elsevier, vol. 56(C).
    8. Kakhkharov, Jakhongir & Onur, Ilke & Yalcin, Erkan & Zhu, Rong, 2024. "Global evidence on the Russia–Ukraine conflict and energy stock returns," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 413-435.
    9. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    10. Huynh, Nhan & De Mello, Lurion & Li, Kai, 2025. "Evolution of investor sentiment: A systematic literature review and bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 100(C).
    11. Whelsy Boungou & Alhonita Yatié, 2024. "Uncertainty, stock and commodity prices during the Ukraine-Russia war ," Post-Print hal-04746052, HAL.
    12. Muneer Shaik & Mustafa Raza Rabbani & Mohd Atif & Ahmet Faruk Aysan & Mohammad Noor Alam & Umar Nawaz Kayani, 2024. "The dynamic volatility nexus of geo-political risks, stocks, bond, bitcoin, gold and oil during COVID-19 and Russian-Ukraine war," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-16, February.
    13. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2025. "Geopolitical risk and energy market tail risk forecasting: An explainable machine learning approach," Journal of Commodity Markets, Elsevier, vol. 39(C).

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