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cover of episode Micah Speaks To Kyle Chayka About The Filter World

Micah Speaks To Kyle Chayka About The Filter World

2024/1/31
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On the Media

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Micah Loewinger:在过去于纽约的唱片店工作期间,同事们提供的个性化音乐推荐比现在Spotify算法推荐更有启发性。Spotify等应用的便捷性是以牺牲更深层次的体验为代价的,这种感觉促使他阅读了Kyle Chayka的《Filter World》。 Kyle Chayka:我们应该对算法能够真正了解个人品味的观点保持怀疑态度。大多数推荐算法是黑盒,公司故意不公开其工作机制。许多推荐算法通过衡量内容的各种变量(点击次数、收藏、转发、观看时间等)来决定推广哪些内容。算法推荐并非基于质量,而是基于注意力,它无法判断Bach比Mozart更好。 Netflix的个性化推荐并非真正意义上的个性化,而是平台为了推广特定内容而进行的操纵,例如通过操纵影片缩略图来影响用户的观看选择。Spotify算法倾向于推荐用户反复收听的内容,以保持用户的持续使用,这会限制用户的音乐探索。 与算法推荐相比,人工筛选(例如DJ)能够在文化内容中构建意义并引导消费者,带来更具启发性和深度的文化体验。算法推荐的“环境”特性使其容易被忽略,这不利于对艺术作品的深入理解。 过去的人工筛选机制(如电台DJ、唱片公司高管)也存在自身的偏见和缺陷。但算法推荐有时能够绕过传统筛选机制的偏见,例如“城市流行音乐”的复兴。 应该对算法进行监管,以提高透明度并防止有害内容的传播。算法监管可以包括限制推荐内容类型、提高透明度以及允许用户选择退出推荐等措施。欧盟在算法监管方面领先于美国。对算法的恐惧是人类对技术变革普遍恐惧的一部分。我们应该从算法生态系统中适当抽离,并采取措施直接支持喜欢的创作者。

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Micah Loewinger reflects on his experience working at record stores and how personal recommendations from experts were more impactful than algorithmic suggestions from platforms like Spotify.

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In Micah Loewinger's introduction to this interview, he shared this personal anecdote:

"Before I landed a job at this show, I worked for a few years, on and off, at a couple record stores around New York City. And some of my favorite albums to this day, were recommended to me by my coworkers. Men and women who I consider to be archivists –– not just of old formats like vinyl records, CDs, and cassettes –– but of underappreciated artists and niche genres. A knowledge of music history that can only come from a lifetime of obsessive listening, research, and curation. 

Nowadays, I pay for Spotify. I try to learn about music off the app and then save it for later listening on Spotify, but sometimes I find myself just letting its recommendation algorithm queue up the next track, and the next. And it definitely works. Spotify has helped me discover great music, but it’s never been as revelatory as a personal recommendation from a friend or an expert at a record store or an independent radio station. 

This feeling … that I’ve traded convenience for something deeper is what made me want to read Filterworld: How Algorithms Flattened Culture by Kyle Chayka, a staff writer at the New Yorker."

 

 

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