Algorithmic Public Service Media Content Recommendation

Project Details


This project examines the potentials and implications of the possible use of algorithmic recommender systems on public service media content. A main question is whether such algorithmic systems should consider diversity in its recommendations as diversity traditionally is understood in a media political context, or systems should operate as commercial content recommender systems. Should the PSB / PSM remit and the policy goals in public service media contracts (and similar) be reflected in the construction and fine-tuning of the algorithms, or should they reflect user-demands only?

The project is conducted in collaboration with Hans Bredow Institute for Media Research at Universität Hamburg, as part of the "Algorithmed Public Spheres" research project
Effective start/end date19/10/201530/12/2020