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Nick Seaver: Understanding Taste, Algorithms and Context in Music Recommender Systems
Episode 318th March 2018 • The Human Show: Innovation through Social Science • Paul Spain
00:00:00 00:49:19

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Corina and Angel talk to Nick Seaver about his research with music recommender systems and understanding the cultures, tastes and relationships created through and with those systems. Looking at what taste means and why it is important to the design of algorithms for music recommender systems.

Mentioned in Podcast:
Seaver, Nick. 2015. “The nice thing about context is that everyone has it.” Media,
Culture, and Society 37(7): 1101–1109.
Maffesoli, Michel. 1996. “The Time of the Tribes: The Decline of Individualism” in
Mass Society, SAGE Publications Ltd

Nick’s work:
Seaver, Nick. 2017. Algorithms as Culture: Some Tactics for the Ethnography of
Algorithmic Systems. In “Algorithms in Culture,” edited by Morgan Ames and
Massimo Mazzotti, special issue, Big Data & Society.
Seaver Nick. 2017. Arrival. In “Correspondences: Proficiency,” edited by Andrés
García Molina and Franziska Weidle. Cultural Anthropology website, June 27, 2017.

Follow his work at:
https://ase.tufts.edu/anthropology/people/seaver.htm
http://nickseaver.net/
@npseaver on Twitter

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