Artwork

Content provided by Will Robin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Will Robin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Cracking Algorithmic Recommendation with Nick Seaver

46:33
 
Share
 

Manage episode 293927182 series 2751998
Content provided by Will Robin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Will Robin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

49 episodes

Artwork
iconShare
 
Manage episode 293927182 series 2751998
Content provided by Will Robin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Will Robin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

49 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide