Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/259820 
Year of Publication: 
2022
Series/Report no.: 
GLO Discussion Paper No. 1108
Publisher: 
Global Labor Organization (GLO), Essen
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.
Subjects: 
democracy
public sentiment
Russia-Ukraine
JEL: 
F51
H77
Document Type: 
Working Paper

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