Cultural attributes and their influence on consumption patterns in popular music

Noah Askin*, Michael Mauskapf

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper we leverage recent developments in the way scholars access, collect, and analyze data to reexamine consumption dynamics in popular music. Using web-based tools to construct a dataset that distills songs’ musical content into a handful of discrete attributes, we test whether and how these attributes affect a song’s position on the Billboard Hot 100 charts. Our analysis suggests that attributes matter, beyond the effect of artist, label, and genre affiliation. We also find evidence that the relational patterns formed between attributes-what we call cultural networks-crowds songs that are too similar to their neighbors, adversely affecting their movement up the charts. These results suggest that culture possesses its own sphere of influence that is partially independent of the actors who produce and consume it.

Original languageEnglish (US)
Title of host publicationSocial Informatics - 6th International Conference, SocInfo 2014, Proceedings
EditorsLuca Maria Aiello, Daniel McFarland
PublisherSpringer Verlag
Pages508-530
Number of pages23
ISBN (Electronic)9783319137339
DOIs
StatePublished - Jan 1 2014
Event6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain
Duration: Nov 11 2014Nov 13 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8851
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Social Informatics, SocInfo 2014
CountrySpain
CityBarcelona
Period11/11/1411/13/14

Keywords

  • Attributes
  • Consumption
  • Culture
  • Music
  • Networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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