Public sentiment towards economic sanctions in the Russia–Ukraine war
| Published date | 01 November 2022 |
| Author | Vu M. Ngo,Toan L. D. Huynh,Phuc V. Nguyen,Huan H. Nguyen |
| Date | 01 November 2022 |
| DOI | http://doi.org/10.1111/sjpe.12331 |
564
|
Scott J Polit Econ. 2 022;69:564–573.
wileyonlinelibrary.com/journal/sjpe
1 | INTRODUCTION
The Rus sian invasion of Ukraine has been condemned as an un provoked act of war. Whil e Western m edia has
been full of criticism and st atements a gainst thi s war, s ome countri es, part icularly t he Russian alliances, have
followed P utin's narrative, describing the war as a ‘special military operation’. Hence, infor mation about this war
will diverge in a variet y of independen t sources, which are more likel y to form the heterogeneous be liefs of the
public. Althou gh public sentiment lies on the centric literatur e of economics with issues such as domestic violenc e
(Amarasinghe, 2022), political views (Burszt yn et al., 2020) are different , and an unders tanding of the information-
gathering be haviour by individuals abo ut the Russia– Ukraine war, parti cularly in the era of Intern et, has not been
Received: 3 June 2 022
|
Accepted: 12 July 20 22
DOI: 10.1111/sjpe.12331
SHORT NOTE
Public sentiment towards economic sanctions in
the Russia– Ukraine war
Vu M. Ngo1 | Toan L. D. Huynh2 | Phuc V. Nguyen3 |
Huan H. Nguyen1
This is an open ac cess article und er the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which
permits us e and distributio n in any medium, provid ed the original wor k is properly cited , the use is non-comme rcial and no
modificat ions or adaptatio ns are made.
© 2022 The Auth ors. Scottish Journal of Political Economy publishe d by John Wiley & Sons Ltd o n behalf of Scottish Ec onomic
Soci ety.
1School of Bank ing, University o f Economics
Ho Chi Minh Cit y, Ho Chi Minh City,
Vietnam
2School of Busi ness and Managemen t,
Queen Mary Uni versity of London, Lond on,
United Kingd om
3School of Busi ness and Finance, Ma ssey
Universit y, Palmerston Nort h, New Zealand
Correspondence
Toan L. D. Huynh, Sc hool of Business an d
Management , Queen Mary Universit y of
London, London, United Kingdom.
Email: t.huynh@qmul.ac.uk
Abstract
This p aper introduces novel dat a on pub lic sentiment to-
wards econom ic sanctions base d on nearly 1 milli on social
media posts in 108 countries during the Russia– Ukraine
war by using machine learning. We show the geographi-
cal heterogeneity between government stances and public
sentiment. Finally, we show how political regimes , trading
relationships and political instability can predict how peo-
ple perceive this war.
KEYWORDS
democracy, public sentiment, Russia– Ukraine
JEL CLASSIFI CATION
F51; H77
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