Using social media to reveal social and collective perspectives on music

被引:3
作者
Iren, Deniz [1 ]
Liem, Cynthia C. S. [1 ]
Yang, Jie [1 ]
Bozzon, Alessandro [1 ]
机构
[1] Delft Univ Technol, Mekelweg 4, NL-2628 CD Delft, Netherlands
来源
PROCEEDINGS OF THE 2016 ACM WEB SCIENCE CONFERENCE (WEBSCI'16) | 2016年
关键词
social media; data analysis; music preferences; YOUNG;
D O I
10.1145/2908131.2908178
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 significance of the aired songs.
引用
收藏
页码:296 / 300
页数:5
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