Researchers harness neurophysiology and machine learning for 97% accuracy in predicting future chart-toppers.
  • cura@beehaw.orgOPEnglish
    2·
    1 year ago

    Surveys After each song, participants were asked to rank how much they liked the song (1 to 10), if they would replay the song (0, 1), recommend the song to their friends (0, 1), if they had heard it previously to assess familiarity (0, 1), and if they found the song offensive (0, 1). We also showed participants lyrics from the song and lyrics created by the researchers and asked them to identify the song lyrics to measure their memory of the song (0, 1).

    I still think your concern is legitimate.

    • ABoxOfNeurons@lemmy.oneEnglish
      2·
      1 year ago

      Memory is funny. Stuff can play in the background and become familiar without you being consciously aware of it.

      It would be possible to do this study without contamination by using completely unknown and newly-released songs as a dataset, and checking against future chart data regarding the popularity, or by examining the reaction of an isolated group of people without constant musical bombardment.