Anthropological study reveals how technologists design algorithmic music recommendations, indicating algorithms as sociotechnical systems.
In Computing Taste, Nick Seaver conducts an anthropological study of the technologists who design algorithmic music recommendation systems. He explores their ways of thinking and talking about music, taste, and computation to better understand their technological design approaches. By highlighting the humans behind the machines, Computing Taste shows how to think about computer algorithms as sociotechnical systems.
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Jacob Pleasants (2024) studied this question.
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