Online Networks and the Production of Value in Electronic Music Anna Jordanous (School of Computing, University of Kent) Byron Dueck (Department of Music,

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Presentation transcript:

Online Networks and the Production of Value in Electronic Music Anna Jordanous (School of Computing, University of Kent) Byron Dueck (Department of Music, Open University) Daniel Allington (Department of Applied Linguistics and English Language, Open University)

How do listeners, dancers, and (especially) other musicians demonstrate their appreciation for electronic dance music and musicians? How do they value electronic music? What role do valuing communities (communities of producers) play?

3. Methodology (a) Quantitative (b) Qualitative (c) Bringing the two together

Analysing the valuing of music using social networks What does activity on a social network reveal about how people value each other? We asked the specific question: – How do musicians show their appreciation of each other’s work? Quantitative work: – examine how musicians interact on the social network SoundCloud – (informed by qualitative research - interviews) Valuing Electronic Music

How users interact on SoundCloud Follow other users Like a track Comment on a track Add a track to a personal playlist Join a group Valuing Electronic Music

Initial quantitative findings... Top-ranked x users Visualising networks Valuing Electronic Music

But... mismatch with qualitative findings Valuing Electronic Music

Identifying sub-networks Grouping by e.g. musical genres, physical locations of musicians Valuing Electronic Music

Empirically analysing value/valuing Can we ‘measure’ / analyse cultural value computationally? – Yes - if we look at the smaller pictures, not one bigger picture – As a proxy for value: – look for interactions between people linked together in subnetworks / ego networks / cliques = evidence of interpersonal relationships – On SoundCloud, interactions tend to be (or spam) Valuing Electronic Music

Some findings Vocabularies in different genres Dubstep Hip hop keynesskeywordkeynesskeyword sick105.50dope tune93.15shit nice88.45beat 68.91big65.72leave 54.68mix58.95song 37.00heavy53.20comment 32.20massive52.25hard 29.96dubstep50.00check 29.31wicked43.79brah 28.56real39.91bro Follow relationships: – By countries, top 3 are US, UK, Germany – By cities, top 3 are London, NY, Berlin – People tend to follow people within same city – graphy-soundcloud-following/ graphy-soundcloud-following/ – And people in same genre – By genre, top 3 are house, hip hop, techno – exploring-genre-on-soundcloud-part-i/ exploring-genre-on-soundcloud-part-i/

Comments: typically very positive Valuing Electronic Music

Empirical analysis of Scottish users Using commenting as a valuing activity # chars of comments on a track = proxy to measure value? 1.calvinharris (electro-pop, house) 2.the-nibelheim-incident (Daryl Constance) (dubstep) 3.middleschoolfrown (John Kevin, electronic pop), davecruickshank (techno), jasegallacher (techno) Valuing Electronic Music Early days… current work

Conclusions (so far) You can study cultural value computationally by studying social network activity – But – look at the smaller pictures, not the whole To understand how people express value for each other’s work: – look for relationships between people – Some activities hold more value than others, work out which ones… – This holds for electronic music – where else? Valuing Electronic Music

Model links between musicians via concerts (case study: new music concerts in London) Future proposals (1) Valuing Electronic Music

DJs show they value a track by playing it… (Case study - analysis of dj sets in grime & rap) Future proposals (2) Valuing Electronic Music