Abstract
With scholarship on the musical dimensions of rap still in its infancy, there are still analytical tools that need to be developed and refined. We have a lot of data: the timing and articulation of hundreds of songs has been transcribed, thanks to a few very dedicated scholars. This data, however, exists in lengthy, largely neglected spreadsheets. By tracking recent developments in flow visualisation and utilising insights from each in a new approach, the paper contributes a working system for visualising flow aimed at nuance, automation, integration with existing corpuses, and accessibility for a lay audience.
| Original language | English |
|---|---|
| Pages (from-to) | 180-195 |
| Number of pages | 16 |
| Journal | Journal of New Music Research |
| Volume | 48 |
| Issue number | 2 |
| Early online date | 13 Sept 2018 |
| DOIs | |
| Publication status | Published - 15 Mar 2019 |
Keywords
- flow
- flowprints
- hip-hop
- rap
- visualisation
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