Using social media to reveal social and collective perspectives on music

TitleUsing social media to reveal social and collective perspectives on music
Publication TypeConference Paper
Year of Publication2016
AuthorsIren, D, Liem, CCS, Yang, J, Bozzon, A
Conference Name 8th International ACM Web Science Conference
Date Published05/2016
PublisherACM
Conference LocationHannover, Germany
Keywordsdata analysis, music preferences, social media
Abstract

How can social media be used to reveal latent social and collective perspectives on music? Our work addresses this question by introducing a Twitter dataset surrounding the Top 2000, a yearly national broadcasting event in The Netherlands. The Top 2000 is recognised as a valuable case study into the role of music as a social nostalgia-inducing phenomenon, triggering collective and autobiographical memories. Our dataset, containing enriched Twitter information over the Top 2000 voting and broadcasting timeline in 2015, demonstrates how the broad audience support of the event enables data-oriented studies of the public response to and public signi ficance of the aired songs.

DOI10.1145/2908131.2908178
AttachmentSize
WebScience_2016_Music_Atlas_PREPRINT.pdf1.33 MB