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Public sentiment towards economic sanctions in the Russia–Ukraine war

Vu M. Ngo, Toan L. D. Huynh, Phuc V. Nguyen and Huan H. Nguyen

Scottish Journal of Political Economy, 2022, vol. 69, issue 5, 564-573

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.

Date: 2022
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https://doi.org/10.1111/sjpe.12331

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Persistent link: https://EconPapers.repec.org/RePEc:bla:scotjp:v:69:y:2022:i:5:p:564-573

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Scottish Journal of Political Economy is currently edited by Tim Barmby, Andrew Hughes-Hallett and Campbell Leith

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