Cracking Algorithmic Recommendation with Nick Seaver

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由Player FM以及我们的用户群所搜索的Will Robin — 版权由出版商所拥有,而不是Player FM,音频直接从出版商的伺服器串流. 点击订阅按钮以查看Player FM更新,或粘贴收取点链接到其他播客应用程序里。

Algorithms run our lives these days, from Netflix binges to predictive policing. And that includes algorithmic recommenders––like Spotify's Discover Weekly and Pandora––that shape how we consume music. How does algorithmic music recommendation work and, perhaps more importantly, who makes it work? After all, algorithms are made and tweaked by people, who work at tech companies and have their own ideas and values. An interview with anthropologist Nick Seaver, who has conducted years of ethnographic fieldwork to understand who creates algorithmic recommenders, and why they do what they do.
Nick Seaver is assistant professor of anthropology at Tufts University.
Show notes and more over at soundexpertise.org!
Questions? Thoughts? Share them with Will on Twitter @seatedovation

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