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S. Aroyehun

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#natural language process... Preprint Sep 2026

Epistemic orientation predicts legislative effectiveness among members of the US Congress

Truth and evidence-based communication provide important foundations for democratic governance, accountability, and collective decision-making. Prior work shows that evidence-oriented language in US congressional floor speeches has declined since the mid-1970s, alongside broader changes in legislative productivity and...

S. Aroyehun, Stephan Lewandowsky, David García · 0 citations
#natural language process... Preprint Sep 2026

Politics of Feelings: Emotional Expression and Legislative Effectiveness in the U.S. Congress

Emotions are a pervasive feature of political communication, yet existing research has focused primarily on describing patterns of emotional expression rather than examining whether they are associated with consequential legislative outcomes. We address this gap by investigating the expression and correlates of discret...

S. Aroyehun · 0 citations
Open access Jul 2026

Measuring complex constructs in large-scale text with computational social mixed methods

Using a case study on countering online hate, it is illustrated how consequently integrating social science and machine learning expertise improves the validity and comparability of computational social science.

Alina Herderich, Jana Lasser, Mirta Galesic et al. · 1 citation

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