Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We leverage a unique dataset at the municipality level in Italy to examine the factors that drive support for two separate referendum campaigns — one on the decriminalization of cannabis cultivation and the other on physician-assisted suicide. Using machine learning techniques, we identify key predictors of support for both referendums, including income, population density, and political leaning of the municipality. Our analysis also highlights that local economic conditions, such as the number of firms, and educational attainment, along with exposure to organized crime, are critical factors driving mobilization in favor of the cannabis referendum. In contrast, support for legalizing assisted suicide is more likely to be explained by religiosity.