Markus Schedl,
"Genre-based Analysis of Social Media Data on Music Listening Behavior"
: 1st ACM International Workshop on Internet-Scale Multimedia Management (ISMM 2014), 11-2014
Original Titel:
Genre-based Analysis of Social Media Data on Music Listening Behavior
Sprache des Titels:
Englisch
Original Buchtitel:
1st ACM International Workshop on Internet-Scale Multimedia Management (ISMM 2014)
Original Kurzfassung:
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.