Public sentiment towards economic sanctions in the Russia-Ukraine war

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.

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Year of publication:	2022
Publisher:	Essen : Global Labor Organization (GLO)
Subject:	democracy \| public sentiment \| Russia-Ukraine

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Series:	GLO Discussion Paper ; 1108
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	1807368890 [GVK] hdl:10419/259820 [Handle] RePEc:zbw:glodps:1108 [RePEc]
Classification:	F51 - International Conflicts; Negotiations; Sanctions ; H77 - Intergovernmental Relations; Federalism
Source:	EconStor

Persistent link: https://www.econbiz.de/10013208393