Analyzing the Potential of Microblogs for Spatio-Temporal Popularity Estimation of Music Artists
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
IJCAI 2011: International Workshop on Social Web Mining
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
This paper looks into the suitability of microblogs
for an important task in music information research,
namely popularity estimation of music
artists. The research questions addressed are the
following: To which extent are microblogs used
to communicate music listening behavior? Are
there differences between different countries of the
world? Is it possible to derive a popularity measure
from user?s microblogging activities?
We found that microblogging does indeed represent
an important communication channel for revealing
music listening activities, although the intensity of
its use vary considerably from country to country.
Motivated by this finding, we took first steps towards
a geo-aware, social popularity measure for
music artists. To this end, we analyzed user posts
mined from the microblogging service Twitter
over a period of five months. Addressing the problem
of determining the popularity of music artists,
we employed a gazetteer on extracted posts relevant
for particularmusic artists. The presented approach
aims at extracting time- and location-specific artist
popularity information. We evaluated the performance
of the approach by comparing the popularity
rankings derived from Twitter posts against the
popularity rankings provided by last.fm, a popular
music information system and recommender
engine.
1 Motivation and Context
Forschungs-