Room: Track 2 - Panels and Workshops
Academic Track 🎓
Sunday, 16:30 UTC
Duration: 20 minutes (plus Q&A)
The rise of organized editing practices in the OpenStreetMap community has outpaced research methods for identifying mappers participating in these efforts and evaluating their work. This research uses machine-learning to improve upon prior approaches to estimating corporate editing on OSM, contributing both a novel methodology as well as summary statistics that shed light on corporate editing behavior in OSM.