Aarhus University Seal

Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review


  • Kelly Jakubowski, University of London
  • ,
  • Sebastian Finkel, University of Tübingen
  • ,
  • Lauren Stewart, Department of Psychology, Goldsmiths
  • ,
  • Daniel Müllensiefen, University of London

Involuntary musical imagery (INMI or "earworms")- the spontaneous recall and repeating of a tune in one's mind-can be attributed to a wide range of triggers, including memory associations and recent musical exposure. The present study examined whether a song's popularity and melodic features might also help to explain whether it becomes INMI, using a dataset of tunes that were named as INMI by 3,000 survey participants. It was found that songs that had achieved greater success and more recent runs in the U.K. music charts were reported more frequently as INMI. A set of 100 of these frequently named INMI tunes was then matched to 100 tunes never named as INMI by the survey participants, in terms of popularity and song style. These 2 groups of tunes were compared using 83 statistical summary and corpus-based melodic features and automated classification techniques. INMI tunes were found to have more common global melodic contours and less common average gradients between melodic turning points than non-INMI tunes, in relation to a large pop music corpus. INMI tunes also displayed faster average tempi than non-INMI tunes. Results are discussed in relation to literature on INMI, musical memory, and melodic "catchiness.".

Original languageEnglish
JournalPsychology of Aesthetics, Creativity, and the Arts
Pages (from-to)122-135
Number of pages14
Publication statusPublished - 1 May 2017

    Research areas

  • Automatic music analysis, Earworms, Involuntary memory, Involuntary musical imagery, Melodic memory

See relations at Aarhus University Citationformats

ID: 120759960