Genre-based Analysis of Social Media Data on Music Listening Behavior

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

It is frequently presumed that lovers of Classical music are not present in social media. In this paper, we investigate whether this statement can be empirically verified. To this end, we compare two social media platforms — Last.fm and Twitter — and perform a study on musical preference of their respective users. We investigate two research hypotheses: (i) Classical music fan are more reluctant to use social media to indicate their listing habits than listeners of other genres and (ii) there are correlations between the use of Last.fm and Twitter to indicate music listening behavior. Both hypotheses are verified and substantial differences could be made out for Twitter users. The results of these investigations will help improve music recommendation systems for listeners with non-mainstream music taste.
Original languageEnglish
Title of host publication1st ACM International Workshop on Internet-Scale Multimedia Management (ISMM 2014)
Number of pages6
Publication statusPublished - Nov 2014

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102015 Information systems

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

Cite this