PDF Publication Title:
Text from PDF Page: 002
G Model POETIC 1239 No. of Pages 13 Follow the algorithm: An exploratory investigation of music on YouTube Massimo Airoldia,*, F][80_TD$DIFDavide Beraldob, Alessandro Gandinic a T]FFID$[81_DDepartment of Social and Political Sciences,F[82_TD$DIF] University of Milan, via _]FFID$DT38[Conservatorio 7, 20122, Milan, Italy b 7[8_TD$DIFF]Department of Sociology, University of Amsterdam, Nieuwe Achtergrach 166, 1018WV, Amsterdam, Netherlands c Media Department, Middlesex University, London, The Burroughs, Hendon, London NW4 4BT, United Kingdom Poetics xxx (2015) xxx–xxx Contents lists available at ScienceDirect Poetics journal homepage: www.elsevier.com/locate/poetic ARTICLE INFO Article history: Received 28 July 2015 Received in revised form 29 April 2016 Accepted 2 May 2016 Available online xxx Keywords: YouTube Music Algorithms Genre Network analysis Digital methods 1. Introduction ABSTRACT This article presents an exploratory study of the network of associations among 22,141 YouTube music videos retrieved by ‘following’ the platform’s recommender algorithm, which automatically suggests a list of ‘related videos’ to the user in response to the video currently being viewed. As YouTube’s recommendations are predominantly based on users’ aggregated practices of sequential viewing, this study aims to inductively reconstruct the resulting associations between the musical content in order to investigate their underlying meanings. Network analysis detects 50 clusters of tightly connected videos characterised by a strong internal homogeneity across different axes of similarity. We discuss these findings with reference to the literature on music genres and classification, arguing that the emerging clusters can be considered as ‘crowd-generated music categories’. That is, sets of musical content that derive from the repeated, crowd- based actions of sequential viewing by users on YouTube in combination with the platform’s algorithm. Interestingly, 7 out of 50 clusters are characterised by what may be seen as a ‘situational’ culture of music reception by digital audiences. Such culture is not so much founded on music genres as traditionally conceived, but rather on the purposes of reception which are rooted in the context where this takes place. ã 2016 Elsevier B.V. All rights reserved. The diffusion of a variety of Internet sources that allow for widespread access to music has had a significant impact on the cultures and practices of music reception as well as on the relationships among individual listeners, musical content and technology. Arguably, a prominent actor at the heart of this process is YouTube, the popular video streaming host owned by Google that is now a global repository for popular music and the entry point for a vast number of listeners-consumers searching for new music (Cayari, 2011; Thelwall, Sud, & Vis, 2012). This article offers a contribution to the fields of popular music studies, cultural and media sociology by presenting an exploratory study of the network of associations among 22,141 YouTube music videos, as produced by the platform recommender algorithm (Celma, 2010). The aims of this study are to: a) reconstruct how musical content clusters together; and b) understand the meaning of these associations in order to learn about the aggregated practices of sequential viewing by YouTube users and the cultures of reception that surround such practices. * Corresponding author. Present Address: via ]89_TD$DIFF[Conservatorio 7, 20122, Milan, Italy. E-mail addresses: massimo.airoldi@unimi.it (M. Airoldi), d.beraldo@uva.nl (D. Beraldo), a.gandini@mdx.ac.uk (A. Gandini). http://dx.doi.org/10.1016/j.poetic.2016.05.001 0304-422X/ã 2016 Elsevier B.V. All rights reserved. Please cite this article in press as: M. Airoldi, et al., Follow the algorithm: An exploratory investigation of music on YouTube, Poetics (2016), http://dx.doi.org/10.1016/j.poetic.2016.05.001PDF Image | Follow the algorithm: An exploratory investigation of music on YouTube
PDF Search Title:
Follow the algorithm: An exploratory investigation of music on YouTubeOriginal File Name Searched:
AiroldiBeraldoGandini2016Preprint.pdfDIY PDF Search: Google It | Yahoo | Bing
Cruise Ship Reviews | Luxury Resort | Jet | Yacht | and Travel Tech More Info
Cruising Review Topics and Articles More Info
Software based on Filemaker for the travel industry More Info
The Burgenstock Resort: Reviews on CruisingReview website... More Info
Resort Reviews: World Class resorts... More Info
The Riffelalp Resort: Reviews on CruisingReview website... More Info
| CONTACT TEL: 608-238-6001 Email: greg@cruisingreview.com | RSS | AMP |