Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media?
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Tkalcic M; Ferwerda B; Schedl M; Liem C; Melenhorst MS; Odic A; Kosir A (CEUR, 2014)In this position paper we present the scenario of making interventions for increasing the classical music concert-going behaviour of end users. Within the FP7 Phenicx project we are developing a personalized persuasive ...
Stemle E; Wigham C (Eurac Research, 2017)This volume presents the proceedings of the 5th edition of the annual conference series on CMC and Social Media Corpora for the Humanities (cmc-corpora2017). This conference series is dedicated to the collection, annotation, ...
Dridi, A; Kacimi, M (KDIR, 2015)While content-based approaches for music information retrieval (MIR) have been heavily investigated, user- centric approaches are still in their early stage. Existing user-centric approaches use either music-context or ...