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cover of episode How Spotify picks its winners

How Spotify picks its winners

2024/6/27
logo of podcast Today, Explained

Today, Explained

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David Israelite
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Rebecca Jennings
专注于互联网文化和技术趋势的资深记者,深入探讨AI对社交媒体和文化的影响。
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Sean Rameswaram: 节目开篇介绍了 Spotify 上出现的奇怪现象:许多用户发现,无论播放什么歌曲,播放结束后都会播放同一首 Sabrina Carpenter 的歌曲“Espresso”,引发了关于 Spotify 音乐推荐算法和潜在付费推广行为的讨论。 Rebecca Jennings: 详细分析了网络上关于“Espresso”频繁出现的各种猜测,包括付费推广和“行业种植”等阴谋论,并解释了 Spotify 音乐推荐算法的工作原理,以及算法的“滚雪球效应”如何放大歌曲的流行程度。她还提到了 Spotify 的“发现模式”,允许艺术家放弃部分版税以换取平台的推广,这引发了争议。 David Israelite: 重点关注 Spotify 通过捆绑销售音频产品的方式降低了为歌曲创作者支付的版税,认为 Spotify 将用户变为“捆绑用户”后,根据法律规定,支付给歌曲创作者的版税将显著降低,并指责 Spotify 通过捆绑销售和涨价的方式,减少了支付给歌曲创作者的版税,可能导致歌曲创作者损失超过 1.5 亿美元。他详细解释了美国歌曲创作者的版税支付方式,以及 Spotify 的行为如何违反了版权管理委员会的初衷。他还介绍了美国国家音乐出版商协会采取的应对措施,包括向联邦贸易委员会和各州检察长投诉 Spotify 的行为,以及寻求国会修改相关法律。

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No, Sabrina Carpenter probably isn’t paying the streamer to play “Espresso” every time you’re listening to music. But the app is making changes to its business model that could impact your listening.

This episode was produced by Peter Balonon-Rosen, edited by Matt Collette, fact-checked by Laura Bullard, engineered by Rob Byers and Andrea Kristinsdotter, and hosted by Sean Rameswaram.

Transcript at vox.com/today-explained-podcast)

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