Practical method to analyze algorithms (the YouTube case)

In this session, we'll perform an analysis of youtube algorithm, but before, we'll have to cover some theory. What is an algorithm in our context? Why analyze them matters? How can we understand something so profoundly personalized? By bringing your laptop, we'll coordinate some test. The tool youtube.tracking.exposed, still in an experimental version but already used by students to figure our internal logic in the list of the "suggested video" column. I'll analyze some of the recent debate on algorithm accountability, transparency, and fairness. We'll verify assumption, discuss on ethical concerns, and scientifical analysis.

By Claudio Agosti, Director of Tracking Exposed

Claudio Agosti is a technologist in the public interest. Since 21 years working in digital privacy, internet security, and software engineering. Currently, Director of Tracking Exposed, he leads a team and a technology to analyze platforms algorithms. His goal is to enable individuals to control their own algorithm.