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Music discovery in everyday situations has been facilitated in recent years by audio content recognition services such as Shazam. The widespread use of such services has produced a wealth of user data, specifying where and when a global audience takes action to learn more about music playing around them. Here, we analyze a large collection of Shazam queries of popular songs to study the relationship between the timing of queries and corresponding musical content. Our results reveal that thedoi:10.3389/fpsyg.2017.00416 pmid:28386241 pmcid:PMC5362644 fatcat:zwuqxq5g5ng3pe3jfwn6dzj6yi