In this demo paper, we present the “Music Tweet Map” interface for browsing music listening events on a global scale. These events have been extracted automatically from a large set of microblogs harvested from Twitter. We showcase the major functionalities offered by the interface, i.e., browsing music by time, specific locations, topic clusters learned from tag information, and music charts. Furthermore, music can be explored via artist similarity. To this end, we present a music similarity measure, based on co-occurrence analysis of items in users' listening histories.