Public sentiment towards economic sanctions in the Russia-Ukraine war

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

No 1108, GLO Discussion Paper Series from Global Labor Organization (GLO)

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.

Keywords: democracy; public sentiment; Russia-Ukraine (search for similar items in EconPapers)
JEL-codes: F51 H77 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-big, nep-cis, nep-dem and nep-tra
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:1108

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