

Cracking Algorithmic Recommendation with Nick Seaver
Jun 1, 2021
Nick Seaver, assistant professor of anthropology at Tufts University, dives into the world of algorithmic music recommendation systems. He reveals how human biases shape these algorithms, impacting what we listen to on platforms like Spotify and Pandora. Seaver explores the history of collaborative filtering and its cultural significance while discussing the opaque 'black box' nature of these tech-driven systems. He emphasizes understanding the human elements in technology, highlighting the often-overlooked role of musicians in this digital ecosystem.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Understanding Algorithmic Recommendation Systems in Music Consumption
02:23 • 2min
The Evolution of Collaborative Filtering in Recommendation Systems
04:12 • 2min
The Intersection of Music, Technology, and Anthropology
05:57 • 2min
Navigating Algorithmic Insights
08:01 • 13min
Unpacking Music Algorithms
20:46 • 25min