Nick Seaver: Understanding Taste, Algorithms and Context in Music Recommender Systems – The Human Show Podcast 3
Nick Seaver is a cultural anthropologist who works as an assistant professor at Tufts University where he also teaches in the Science, Technology, and Society program. He is a co-chair of the American Anthropological Association’s Committee for the Anthropology of Science, Technology, and Computing.
Before that, he got his undergraduate degree in Literature at Yale University, a Masters of Science in Comparative Media Studies from MIT, and his PhD in Anthropology from UC Irvine. Amongst others he has recently been studying algorithmic music recommender systems, looking at the relationship between culture, technology and taste.
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. They talk about recommending through Spotify, Netflix as well as face to face recommendations. They discuss the meaning of taste and why it is important to the design of algorithms for music recommender systems.
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Mentioned in Podcast:
2015 – The nice thing about context is that everyone has it. Media, Culture, and Society 37(7): 1101–1109.
2016 – The Time of the Tribes: The Decline of Individualism in Mass Society, Michel Maffesoli, SAGE Publications Ltd
2016 – 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.
2017 – Arrival. In “Correspondences: Proficiency,” edited by Andrés García Molina and Franziska Weidle. Cultural Anthropology website, June 27, 2017.
Follow Nick’s work at:
#Music Recommenders #Algorithms #Taste