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  4. Party positioning space: a comprehensive framework for understanding multidimensional policy-making dynamics
 
Zitierlink DOI
10.26092/elib/3986

Party positioning space: a comprehensive framework for understanding multidimensional policy-making dynamics

Veröffentlichungsdatum
2025-03-06
Autoren
Hung H. V. Nguyen  
Betreuer
Manow, Philip  
Gutachter
Manow, Philip  
Breznau, Nate  
Hunger, Sophia
Haunss, Sebastian  
Deutsch, Franziska  
Müller, Stefan
Zusammenfassung
Existing research in political science – specifically party politics – overwhelmingly analyze political parties from a voter-centric perspective. As a result, parties are often portrayed as unitary actors with a few salient policy dimensions that they campaign on for each election. In reality, however, parties constantly navigate both inter-party and intra-party conflicts while spreading their interests across a far broader range of policy dimensions. Therefore, to better understand how parties negotiate within and between themselves to reach agreements on key policy issues, I argue for a shift from a voter-centric to a party-centric perspective. This shift requires a comprehensive theoretical and methodological framework which considers party positions as being multidimensional, stochastic, and fluid over time.
Existing frameworks either do not support party-centric view or lack a proper method for scaling stochastic and multidimensional party positions. This cumulative dissertation addresses such a gap by introducing the Party Positioning Framework, developed and implemented through three independent research articles. The first paper presents ContextScale, a sentiment-based approach to scaling multidimensional party positions at the sequence level. Unlike existing scaling methods, ContextScale can distinguish between conflictual and non-conflictual situations, generating a multidimensional positioning space across all policy topics for each party. The second paper improves ContextScale’s cross-domain classification performances by adopting a domain adaptation pipeline which significantly mitigates performance degredation when transferring across political domains without additional fine-tuning. Finally, the third paper applies ContextScale to the case of Germany, highlighting the complex strategies parties employ in their position-taking across stages of the policy making process (from manifestos to parliamentary debates). Empirical findings from the second and third papers demonstrate that adopting a party-centric perspective offers valuable insights into party politics and party competition.
Schlagwörter
SOCIAL SCIENCES::Social sciences::Political science

; 

Party Politics

; 

Computational Political Science

; 

Party Positioning

; 

Measuring Party Positions
Institution
Universität Bremen  
Fachbereich
Bremen International Graduate School of Social Sciences (BIGSSS)  
Researchdata link
https://github.com/hungnguyen167
Dokumenttyp
Dissertation
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
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Name

Nguyen_ Party positioning space_Dissertation.pdf

Size

5.19 MB

Format

Adobe PDF

Checksum

(MD5):7b5323a5bab99174c80b71d9f68aa159

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