Streaming algorithms shape, but don't eliminate, Australian music diversity
Original framing: “Is Spotify’s AI ‘killing’ Australian music? What we found from analysing more than 2 million tracks” — The Conversation - Global
Research on algorithmic bias in music streaming shows that platforms tend to reinforce existing popularity trends rather than diversify them. This behavior is driven by engagement metrics and user feedback loops, which favor well-known artists and genres.
The dominance of algorithmic curation on platforms like Spotify reflects and reinforces global cultural and economic hierarchies that marginalize local and Indigenous artists.
While the algorithms themselves do not 'kill' Australian music, they shape its visibility and accessibility in ways that favor commercial and mainstream genres. This systemic issue is compounded by the lack of transparency and control local artists have over their digital presence. By integrating Indigenous knowledge, cross-cultural models, and community-driven platforms, we can begin to rebalance the power dynamics in the music industry. Historical parallels show that similar imbalances have occurred with earlier media technologies, but the digital era presents new opportunities for decentralized and culturally inclusive solutions. The path forward requires collaboration between artists, technologists, policymakers, and cultural institutions to create a more equitable and diverse music ecosystem.