Auditing a Feral Recommendation System

Computational research · 2019
research

Algorithmic audit of YouTube.

An algorithmic auditing methodology applied to YouTube's recommendation system. Over 5 million videos and 12 million recommendations analyzed, revealing the structural biases of a platform that teaches itself what to show next.