Crisis-induced party adaptation in the Baltic sea Region’s far right: Policy shifts in election manifestos before and after Russia’s 2022 invasion of Ukraine

The February 2022 Russian invasion of Ukraine disrupted Northern and Eastern European security politics. This study examines how five major far-right parties in the Baltic Sea region revised their 2022–24 election manifestos—relative to their 2018–20 platforms—to incorporate explicit defence provisions and alliance commitments. The paper employs paired document analysis using comparative text analysis. Results indicate that, while these parties-maintained core nationalist and sovereign positions, they introduced substantive deterrence measures and formalized international partnerships. The extent of programmatic change correlated with each party’s national threat exposure and coalition prospects: parties in more vulnerable states or with stronger coalition opportunities exhibited greater manifesto convergence toward alliance-based security frameworks. These findings demonstrate genuine crisis-induced policy adaptation rather than mere rhetorical shifts. By integrating quantitative text-analysis with codified policy indices, the study offers a transparent, reproducible framework for tracking political party program change under acute external threats. This framework advances crisis-induced party adaptation theory and provides a methodological template for future research on party responses to disruptive geopolitical events.

Institutions

Publication Details

Journal
New Perspectives
Published
2025-12-07
DOI
https://doi.org/10.1177/2336825x251406077
Primary Topic
Populism, Right-Wing Movements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crisis-induced party adaptation in the Baltic sea Region’s far right: Policy shifts in election manifestos before and after Russia’s 2022 invasion of Ukraine

New Perspectives
Populism, Right-Wing Movements
article

Crisis-induced party adaptation in the Baltic sea Region’s far right: Policy shifts in election manifestos before and after Russia’s 2022 invasion of Ukraine

article en

Abstract

The February 2022 Russian invasion of Ukraine disrupted Northern and Eastern European security politics. This study examines how five major far-right parties in the Baltic Sea region revised their 2022–24 election manifestos—relative to their 2018–20 platforms—to incorporate explicit defence provisions and alliance commitments. The paper employs paired document analysis using comparative text analysis. Results indicate that, while these parties-maintained core nationalist and sovereign positions, they introduced substantive deterrence measures and formalized international partnerships. The extent of programmatic change correlated with each party’s national threat exposure and coalition prospects: parties in more vulnerable states or with stronger coalition opportunities exhibited greater manifesto convergence toward alliance-based security frameworks. These findings demonstrate genuine crisis-induced policy adaptation rather than mere rhetorical shifts. By integrating quantitative text-analysis with codified policy indices, the study offers a transparent, reproducible framework for tracking political party program change under acute external threats. This framework advances crisis-induced party adaptation theory and provides a methodological template for future research on party responses to disruptive geopolitical events.

New PerspectivesVol. 34(1)
University of Tartu (EE)
Partnerships for the goals
Openalex Percentile: Top 29%
Populism, Right-Wing Movements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.