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

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

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 consi

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-22T12:52:20.000Z

First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.