Artwork

Contenuto fornito da Will Robin. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Will Robin o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

Cracking Algorithmic Recommendation with Nick Seaver

46:33
 
Condividi
 

Manage episode 293927182 series 2751998
Contenuto fornito da Will Robin. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Will Robin o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

Artwork
iconCondividi
 
Manage episode 293927182 series 2751998
Contenuto fornito da Will Robin. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Will Robin o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

Tüm bölümler

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida