Music, podcasts, radio, and audiovisual works now circulate through platforms that organize how cultural content can be found and heard. These services promise access and discovery, yet they also ask creators and industries to make their work legible to rankings, recommendations, interfaces, and policies. “Platformization” names this shift: cultural goods and user practices are reformatted around platform systems. In Spotify’s case, optimization means preparing music not only as sound, but also as data—information such as coded metadata that helps content become discoverable [1]. Such pressures can shape creative choices, production routines, and circulation, while creating tensions among platform providers, producers, and users. The issue, then, is not simply who gets heard, but how platform infrastructures redistribute power over cultural creation, visibility, and access.
Morris’s analysis of Spotify provides a useful way to examine these pressures as “platform effects”: changes that arise when cultural goods and user practices are reformatted for platform circulation [1]. He compares them with Mark Katz’s idea of phonographic effects, in which musicians altered how they played so early recording technology could capture their performances more effectively. By analogy, platforms encourage artists, labels, and other stakeholders to adapt music to the conditions of digital distribution and discovery [1].
Morris organizes these adaptations into three forms of optimization. Sonic optimization concerns the sound itself, including the creation of songs that are “playlist friendly”—configured to fit the expectations and formats through which listeners encounter music. Data optimization concerns the information attached to music and the ways its circulation is represented as data. This can include metadata, or coded descriptive information, as well as artificial play counts, which make listening activity appear larger or different from ordinary use [1]. Infrastructural optimization concerns the logistical and technical preparation required to place music into platform systems and ready it for circulation and discovery [1].
The paper’s distinctive claim is that music must be treated simultaneously as sonic content and as coded, discoverable data. Producers therefore face pressure to think and act partly like software developers or coders, preparing music not only to reach listeners but also to be read by platform systems . Optimization consequently unsettles familiar boundaries: creative decisions, technical work, and manipulation can overlap. These tensions involve platforms, content producers, and users, and the same problem extends beyond music to podcasts, video, apps, and books .