Platform Jazz
Algorithmic Music Culture on TikTok
Bibliographic Data
| ID | 23588487 |
|---|---|
| Authors | Brian Burkhart (0000-0001-6570-4568, corresponding author), Benjamin Burkhart |
| Year | 2025 |
| Publication date | 2025-12-31 |
| Open Access | Yes |
| Type | BOOK |
| Venue | Anschauliche Dokumentationen (SOURCE_BOOK) |
| Publisher | Transcript Verlag (PUBLISHER • DE) |
| DOI | 10.14361/9783839431597 |
| OpenAlex | W4416351048 |
| ISBN | 9783839431597 |
| Language | DE |
| Citations received | 1 |
TikTok is one of the world’s most popular digital platforms. Although it may seem unusual at first, many jazz musicians have large followings on this short-form video platform. Benjamin Burkhart examines how popular jazz musicians use TikTok and how jazz is represented on the platform. He investigates how the musicians deal with the platform’s affordances, tailor their content to the short-form video format, and interact with the platform’s algorithmic system. The study also examines the musicians’ expectations regarding TikTok users’ actions, and reveals which jazz-related content achieves the greatest visibility on the platform. Through interviews with popular content creators, the study shows that the socio-technical interaction between musicians and the platform leads to a very specific representation of jazz on TikTok.
Content (measure theory) · Jazz · Jazz dance · Representation (politics) · Visibility · Digital Games and Media · Digital Media and Philosophy · Music Technology and Sound Studies
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |