Publication | Open Access
Public sentiment towards economic sanctions in the <scp>Russia–Ukraine</scp> war
39
Citations
7
References
2022
Year
Machine LearningPublic OpinionPolitical PolarizationPolitical BehaviorSocial Media PostsSocial SciencesJournalismGeopolitical ConflictPolitical CommunicationInternational PoliticsGeopoliticsSocial Medium MiningPublic PolicyPublic SentimentInternational RelationsPolitical RiskUkrainian EconomyPolitical GeographySocial Medium IntelligenceSocial Medium DataArtsPolitical Science
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.
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