Using social media to reveal social and collective perspectives on music

Deniz Iren; Cynthia C. S. Liem; Jie Yang; Alessandro Bozzon

doi:10.1145/2908131.2908178

Using social media to reveal social and collective perspectives on music

Deniz Iren, Cynthia C. S. Liem, Jie Yang, Alessandro Bozzon

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

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 Nether-
lands. 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 signicance of the aired songs.

Original language	English
Title of host publication	WebSci '16
Subtitle of host publication	Proceedings of the 8th ACM Conference on Web Science
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	296-300
Number of pages	5
ISBN (Electronic)	978-1-4503-4208-7
DOIs	https://doi.org/10.1145/2908131.2908178
Publication status	Published - 2016
Event	8th ACM Web Science Conference, WebSci 2016 - Hannover, Germany Duration: 22 May 2016 → 25 May 2016

Conference

Conference	8th ACM Web Science Conference, WebSci 2016
Country/Territory	Germany
City	Hannover
Period	22/05/16 → 25/05/16

Keywords

social media
data analysis
music preferences

Access to Document

10.1145/2908131.2908178

Cite this

@inproceedings{e949706225b54328b6f3d5d52b2df82b,

title = "Using social media to reveal social and collective perspectives on music",

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 Nether-lands. 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 informationover 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 signicance of the aired songs.",

keywords = "social media, data analysis, music preferences",

author = "Deniz Iren and Liem, {Cynthia C. S.} and Jie Yang and Alessandro Bozzon",

year = "2016",

doi = "10.1145/2908131.2908178",

language = "English",

pages = "296--300",

booktitle = "WebSci '16",

publisher = "Association for Computing Machinery (ACM)",

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note = "8th ACM Web Science Conference, WebSci 2016 ; Conference date: 22-05-2016 Through 25-05-2016",

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Iren, D, Liem, CCS , Yang, J & Bozzon, A 2016, Using social media to reveal social and collective perspectives on music. in WebSci '16: Proceedings of the 8th ACM Conference on Web Science. Association for Computing Machinery (ACM), New York, NY, pp. 296-300, 8th ACM Web Science Conference, WebSci 2016, Hannover, Germany, 22/05/16. https://doi.org/10.1145/2908131.2908178

Using social media to reveal social and collective perspectives on music. / Iren, Deniz; Liem, Cynthia C. S.; Yang, Jie et al.
WebSci '16: Proceedings of the 8th ACM Conference on Web Science. New York, NY: Association for Computing Machinery (ACM), 2016. p. 296-300.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Using social media to reveal social and collective perspectives on music

AU - Iren, Deniz

AU - Liem, Cynthia C. S.

AU - Yang, Jie

AU - Bozzon, Alessandro

PY - 2016

Y1 - 2016

N2 - 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 Nether-lands. 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 informationover 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 signicance of the aired songs.

AB - 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 Nether-lands. 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 informationover 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 signicance of the aired songs.

KW - social media

KW - data analysis

KW - music preferences

U2 - 10.1145/2908131.2908178

DO - 10.1145/2908131.2908178

M3 - Conference contribution

SP - 296

EP - 300

BT - WebSci '16

PB - Association for Computing Machinery (ACM)

CY - New York, NY

T2 - 8th ACM Web Science Conference, WebSci 2016

Y2 - 22 May 2016 through 25 May 2016

ER -

Using social media to reveal social and collective perspectives on music

Abstract

Conference

Keywords

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