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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 one million social media posts in 109 countries during the Russia-Ukraine war by using machine learning. We show the geographical heterogeneity between government stances and public sentiment. Finally, political regimes, trading relationships, and political instability could predict how people perceived this inhumane 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," GLO Discussion Paper Series 1108, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1108
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    File URL: https://www.econstor.eu/bitstream/10419/259820/1/GLO-DP-1108.pdf
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    Cited by:

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

    More about this item

    Keywords

    democracy; public sentiment; Russia-Ukraine;
    All these keywords.

    JEL classification:

    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism

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