The next Web Science 2016 presenter is Jack Webster, who focusses on music recommender systems. Such recommender systems could generate filter bubbles, but that threat is nothing new; the cultural intermediaries described by Pierre Bourdieu fulfilled very similar roles and could have engendered very similar patterns.
But music recommender systems do not draw on a lifetime of personal experience, but rather utilise large datasets on users' engagement with music streaming and download services, applying algorithms designed by human coders. How do these different human and technological actors come together in creating and operating recommender systems, then?
Cultural intermediaries are the …