Research
4 entries in Research.
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04 ENTRIESBranding at the water’s edge: Perceived elite polarization of Ukraine aid, 2022–2024
Measures how far apart Republican and Democratic positions on Ukraine aid appeared in US news coverage, 2022–2024, using sentence-level language-model coding validated against human coders.
Commenting at the water’s edge: Party brands and expressed partisanship on Ukraine aid, 2022–2024
Examines whether months in which the parties' Ukraine-aid positions were more clearly differentiated in the news coincided with more recognizably partisan comments on r/politics. Observational design; it measures comments, not individual users.
Predictors of partisan strength and in-party affect: a scoping review
A scoping review of what predicts how strongly people identify with a party and how warmly they feel toward it.
Stable states, dynamic changes: Machine learning reveals how identity anchors and issues drive British partisan dynamics
Explainable machine-learning models on British Election Study panels from the Brexit and COVID-19 periods, separating what anchors levels of partisan strength from what predicts changes in it.