This study examines the use of empirical discourse in US House of Representatives committee hearings (1997–2016, N = 12, 428), analyzing over 5.8 million sentences
using machine learning classification. We find that empirical discourse has increased over time, not necessarily as a marker of evidence-based policymaking, but driven [...]