The regional determinants of collective action in the era of American Resistance
Abstract This study investigates the regional determinants of collective action in the era of “American Resistance.” Drawing on a new dataset from “Count Love”—a machine learning tool that collects data on protest events, timing, location, and number of attendees—we explore the regional determinants of collective action in the first three years following President Trump’s election. In particular, we investigate how socio-economic factors, political partisanship and demographic composition of states affect the rate of protest […]