NICK SEAVER
I’m an anthropologist who studies how people use technology to make sense of cultural things.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can order it from the University of Chicago Press or wherever else you like.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can order it from the University of Chicago Press or wherever else you like.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I’m an anthropologist who studies how people use technology to make sense of cultural things.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can pre-order it from the University of Chicago Press.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can pre-order it from the University of Chicago Press.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
Filter:
Shaping the Stream: The Techniques and Troubles of Algorithmic Recommendation. In The Cambridge Companion to Music in Digital Culture. Cambridge University Press, 63–81.
Written with Kaleb Goldschmitt.
Written with Kaleb Goldschmitt.
This chapter provides an overview of the role of algorithmic recommendation in contemporary music streaming services, describing how they work, how they relate to other algorithmic applications, and problems that have emerged from their use.
August 2019