Measuring inter-party communication: a transformer-based approach. Political Science Research and MethodsOpen Access

Adendorf, Anna; Bahnsen, Oke; Gschwend, Thomas; Huber, Lena Maria; Ponzetto, Simone Paolo; Rehbein, Ines; Stoetzer, Lukas F.

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Inter-party communication is crucial in representative democracies, facilitating information exchange and dialogue among political parties. Despite its importance, research on this topic remains limited due to lacking conceptual clarity and challenges in large-scale measurement. This article offers a comprehensive definition of inter-party communication as public communication by parties about others, with a positive, neutral, or negative stance, focusing on collaboration, policy, or personal issues. To effectively measure this phenomenon, we introduce a novel transformer-based approach capable of automatically classifying large volumes of text. Case studies on coalition signals in Germany and negative campaigning in Austria demonstrate its effectiveness. The study deepens our understanding of party competition, advances methods of automated text classification, and enables new research on political communication.

Details zur Publikation

FachzeitschriftPolitical Science Research and Methods (PSRM)
StatusVeröffentlicht
Veröffentlichungsjahr2026 (24.02.2026)
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1017/psrm.2026.10094
Link zum Volltexthttps://www.cambridge.org/core/journals/political-science-research-and-methods/article/measuring-interparty-communication-a-transformerbased-approach/7A2DAD483103CBB2722EB2FFA19DD362
StichwörterPolitical Text Analysis; Inter-party communication; Transformer-based text classification