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How Musicians are Navigating Streaming Algorithms, AI and Automation
Manage episode 365047642 series 2097742
KQED에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 KQED 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되면 여기에 설명된 프로세스를 따를 수 있습니다.https://ko.player.fm/legal
When music streaming services like Spotify or Apple Music recommend a song or an album, it can be a make-or-break moment for lesser-known artists. But it still doesn’t pay the bills: musicians earn on average less than half of a cent per stream unless they’re among a platform’s top artists. Streaming fraud and copycat tracks can also cut into their pay — types of theft that could be made even easier with generative artificial intelligence. We’ll talk about how automation and technology are changing how we consume music, how that music sounds and what artists are paid.
Guests:
Nastia Voynovskaya, associate editor, KQED Arts & Culture
Zack Nestel-Patt, bassist and composer; organizer, Union of Musicians and Allied Workers
Marc Hogan, senior staff writer, Pitchfork
LaRussell, artist; founder, Good Compenny - an organization that promotes rising Bay Area artists
3568 에피소드
