One More Turn after the Algorithmic Turn? Spotify’s Colonization of the Online Audio Space

Kiberg, Håvard; Spilker, Hendrik Storstein

doi:10.1080/03007766.2023.2184160

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…Our findings corroborate existing WOM research, underscoring the influential role of interpersonal recommendations in shaping user behaviour and further support recent findings (Longoni and Cian, 2022;Xie et al, 2022), suggesting that even in the presence of algorithm-based personalized recommendations, some users still value the human touch when it comes to audio content. Kiberg and Spilker, 2023) by showing that, for users of ASPs, the intention to listen to recommended content is higher when the recommendation comes from a friend than when it comes from an algorithm. The findings contribute to a deeper understanding of the dynamics between algorithmic precision and friend-based wisdom in the realm of music recommendations on ASPs and have implications for the adequate design of ASPs as they shape their recommendation strategies.…”

Section: Findings and Discussionmentioning

confidence: 99%

“…To assist users in this decision-making process, ASPs have implemented recommendation systems that rely on data-and/or rule-based algorithms to predict user music preferences. This is part of a broader technological trend known as the 'algorithmic turn,' defined as the use of intelligent algorithms and big data to personalize and customize services (Kiberg and Spilker, 2023). Recommendation algorithms are nowadays used by default on many streaming platforms as well as in online marketplaces (Jannach and Jugovac, 2019), and they can be considered a subset of artificial intelligence (AI) techniques.…”

Section: Introductionmentioning

confidence: 99%

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Comparing Algorithm-Based and Friend-Based Recommendations on Audio Streaming Platforms

Flaswinkel,

Decker

2024

IRMM

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With the rise of audio streaming platforms (ASPs), users face the challenge of navigating a large amount of audio content. Companies are increasingly employing algorithms to provide personalized recommendations to their customers; however, word-of-mouth research has demonstrated in numerous studies the crucial role of friend-based recommendations, particularly in the realm of experience goods. Considering the experiential factor in ASPs, existing insights into recommendations raise the question of which recommendation source holds a greater advantage in the realm of ASPs. This study deals with recommendation sources in the field of ASPs and examines in particular the effects of algorithm-based suggestions on users' listening intentions. Using a quantitative research approach, we investigate users' attitudes toward recommended content and compare the intentions to listen to suggested content in cases of algorithmic and friend-based recommendations. Our results provide valuable insights for companies planning to provide helpful recommendations to ASP users and increase their listening intentions for recommended content.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing Algorithm-Based and Friend-Based Recommendations on Audio Streaming Platforms

Flaswinkel,

Decker

2024

IRMM

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Stories and Data: Australian Musicians Navigating the Spotify for Artists Platform

Freeman,

Gibbs,

Nansen

2023

Popular Music and Society

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Joe Rogan v. Spotify: Platformization and worlds colliding

Colbjørnsen

2024

Convergence: The International Journal of Research into New Med

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In May 2020, the music streaming service Spotify acquired exclusive rights to The Joe Rogan Experience, one of the world’s most popular podcasts. While the music streamer had started its foray into the podcasting world with acquisitions in 2019 of podcasting networks and production companies, the investment on Rogan was widely seen as a strong commitment. Rogan’s podcast is known to be humorous, crass, and often controversial. As the show dealt with highly contentious issues surrounding the COVID-19 pandemic, criticism emerged, both from medical professionals, from artists and from within Spotify. The most widely published pushback came from artist Neil Young in January 2022, as he posed an ultimatum: ‘They can have Rogan or Young. Not both’. The Joe Rogan v. Spotify case can be seen as indicative of how the platformization of podcasting creates tensions and conflicts: Worlds collide as the logics of music publishing and news publishing crash with Rogan’s free reign podcasting world. As a result, Spotify, as a podcasting platform and publisher, finds itself in unfamiliar terrain. This paper connects the details of the case with theories of platformization, looking specifically at the role of Spotify as a comparatively new distributor of podcasts and a driving force to connect various audio formats. Drawing on media industry studies and scholarship on media policy and regulation, the paper ends with a discussion on how to understand the complexity of Spotify’s role as a publisher and a platform and Rogan’s role as a platform creator.

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One More Turn after the Algorithmic Turn? Spotify’s Colonization of the Online Audio Space

Cited by 4 publications

References 31 publications

Comparing Algorithm-Based and Friend-Based Recommendations on Audio Streaming Platforms

Comparing Algorithm-Based and Friend-Based Recommendations on Audio Streaming Platforms

Stories and Data: Australian Musicians Navigating the Spotify for Artists Platform

Joe Rogan v. Spotify: Platformization and worlds colliding

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