Provincializing Spotify: Radio, algorithms and conviviality

Q1 Arts and Humanities
Radio Journal Pub Date : 2020-04-01 DOI:10.1386/rjao_00014_1
Elena Razlogova
{"title":"Provincializing Spotify: Radio, algorithms and conviviality","authors":"Elena Razlogova","doi":"10.1386/rjao_00014_1","DOIUrl":null,"url":null,"abstract":"Focusing on early experiments with algorithms and music streaming at WFMU, the longest-running US freeform radio station, and the Free Music Archive (FMA), a curated open music website, this article shows how commercial streaming services have been indebted to independent, open music infrastructures but have then erased and denied that history. The article ‘provincializes’ music streaming platforms such as Spotify by focusing not on their commercial aims but instead on the ‘convivial’, collaborative practices and spaces that their software engineers and users inhabited. I analyse an experimental national telephone broadcasting service at WFMU in 1989, an algorithmic WFMU radio stream ‘The Flaming Robot of Love’ during the Republican National Convention in 2004 and the ‘Free Music Archive Radio App’ that recommended tracks on the FMA website from 2011 to 2016. The app worked with an application programming interface (API) from Echo Nest. Echo Nests’ algorithmic recommendation engine also powers most commercial streaming services today. When Spotify purchased Echo Nest in 2014 and took the start-up’s open API offline in 2016, it engaged in ‘primitive accumulation’ of open-access knowledge and resources for commercial purposes. The FMA closed in 2019 and now only exists as a static site. As social institutions, however, WFMU and FMA ‘recomposed’ – adapted to a new medium and a new political context – collaborative engineering practices of the early broadcasting era. The article argues that moments of oppositional ‘conviviality’ in media culture such as the FMA should be analysed as elements of a continuous struggle.","PeriodicalId":38660,"journal":{"name":"Radio Journal","volume":"29 1","pages":"29-42"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radio Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1386/rjao_00014_1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
引用次数: 1

Abstract

Focusing on early experiments with algorithms and music streaming at WFMU, the longest-running US freeform radio station, and the Free Music Archive (FMA), a curated open music website, this article shows how commercial streaming services have been indebted to independent, open music infrastructures but have then erased and denied that history. The article ‘provincializes’ music streaming platforms such as Spotify by focusing not on their commercial aims but instead on the ‘convivial’, collaborative practices and spaces that their software engineers and users inhabited. I analyse an experimental national telephone broadcasting service at WFMU in 1989, an algorithmic WFMU radio stream ‘The Flaming Robot of Love’ during the Republican National Convention in 2004 and the ‘Free Music Archive Radio App’ that recommended tracks on the FMA website from 2011 to 2016. The app worked with an application programming interface (API) from Echo Nest. Echo Nests’ algorithmic recommendation engine also powers most commercial streaming services today. When Spotify purchased Echo Nest in 2014 and took the start-up’s open API offline in 2016, it engaged in ‘primitive accumulation’ of open-access knowledge and resources for commercial purposes. The FMA closed in 2019 and now only exists as a static site. As social institutions, however, WFMU and FMA ‘recomposed’ – adapted to a new medium and a new political context – collaborative engineering practices of the early broadcasting era. The article argues that moments of oppositional ‘conviviality’ in media culture such as the FMA should be analysed as elements of a continuous struggle.
Spotify的省级化:广播、算法和娱乐
这篇文章聚焦于WFMU(美国运行时间最长的自由格式广播电台)和Free music Archive(一个策划开放的音乐网站)在算法和音乐流媒体方面的早期实验,展示了商业流媒体服务是如何感谢独立、开放的音乐基础设施的,但后来又抹去并否认了这一历史。这篇文章将Spotify等音乐流媒体平台“省区化”,因为它没有关注它们的商业目标,而是关注它们的软件工程师和用户所居住的“欢乐”、协作实践和空间。我分析了1989年WFMU的一个实验性全国电话广播服务,2004年共和党全国代表大会期间WFMU的一个算法广播流“爱的火焰机器人”,以及2011年至2016年在FMA网站上推荐曲目的“免费音乐档案广播应用程序”。这款应用使用了Echo Nest的应用程序编程接口(API)。如今,Echo nest的算法推荐引擎也为大多数商业流媒体服务提供了动力。2014年,Spotify收购了Echo Nest,并于2016年将这家初创公司的开放API下线,这是出于商业目的对开放获取知识和资源的“原始积累”。FMA于2019年关闭,现在仅作为静态站点存在。然而,作为社会机构,WFMU和FMA“重组”——适应新的媒体和新的政治背景——早期广播时代的协作工程实践。文章认为,像FMA这样的媒体文化中,反对派的“欢娱”时刻应该作为持续斗争的要素来分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Radio Journal
Radio Journal Arts and Humanities-Visual Arts and Performing Arts
CiteScore
1.50
自引率
0.00%
发文量
7
期刊介绍: Radio Journal publishes critical analyses of radio and sound media across a variety of platforms, from broadcast to podcast and all in between. Articles focus on both historical and contemporary issues in sound-based journalism and media studies. We look for work that explores the production, circulation and reception of radio and creative soundwork, and encourage a wide range of international and interdisciplinary perspectives. Radio Journal welcomes scholarship from early career researchers as well as internationally renowned scholars. It also publishes reviews of recent publications in the field of radio and sound studies. Radio Journal is edited from the US and Australia and has an international scope. It is a refereed publication; all research articles undergo rigorous double-blind peer review. The editors will review other contributions. The process normally takes three months to complete.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信