Abstract
While it is understood that protester identity, violence, and emotions affect the size of protests, these concepts have proved difficult to measure at the protest-day level. Geolocated text and images from social media can improve these measurements. This advance is demonstrated on protests in Venezuela and Chile; it uncovers more protests in Venezuela and generates new measures in both countries. Moreover, the methodology generates daily city-day protest data in 107 countries containing 82.7% of the world’s population and 97.15% of its GDP. These multimodal protest event data complement existing event datasets, though countries’ population and income constrain the reach of any methodology.