How does sourcing affect which events are included in international
relations datasets? The increasing number of machine-coded datasets
offers the promise of coding a larger corpus of documents more quickly,
but existing automated processes rely exclusively on databases of news
reports for coverage. We exploit source variation in the UCDP GED
dataset, which includes events from media reports and non-media
sources, to explore the bias introduced by including only media reports
in international relations datasets. Unlike previous studies, our approach
allows us to compare subnational and cross-national determinants of
bias. We find that media sources severely underreport events in African
countries, and coverage is also associated with country-level factors like
international trade and subnational factors like access to communication
technology. Non-media sources cover a significant number of events not
included in media sources; their inclusion can expand coverage and
reduce bias in datasets.