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Blaming Across the Aisle: Political Contrasting and Blame Attribution in the Danish Parliament

Political discourse is widely perceived to be growing more hostile, yet robust evidence remains scarce. This study examines blame attribution in the Danish Parliament from 1997 to 2026, combining a purpose-built classifier, BlameBERT (F1: 0.80), with multilevel statistical modeling. The classifier is constructed using an annotation-efficient pipeline for blame attribution in low-to-mid resource languages. The results reveal a banana-shaped trajectory, with blame declining until around 2016 before entering a significant and sustained increase in recent years (2019-2026). Government status consistently influenced blame attribution - an effect we term political contrasting - with opposition ...

AuthorsMarkus Lundsfryd Jensen, Rune Egeskov Trust, Kenneth Christian Enevoldsen et al.
Primary categorycs.CL
Published22 September 2026
Last updated at source22 September 2026
cs.CL
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