A data visualization aiming at identifying the different mechanisms used by Netflix to promote content visibility.
This work is the result of the capstone project of my Master's Degree in Design at Pantheon Sorbonne University. It was a collaboration with researchers in Computer Science who collected a tremendous amount of data from Netflix users.
I had the task with 3 other students (Marvin Mayard, Thomas Roux and Laura Swietlicki) to exploit the data collected and find a creative way to process it visually in order to highlight key information, create meaning, and gather insight.
This project was selected as one of the best project of the year and was featured in an article by the Chaire PcEN research lab here: https://pcen.fr/activites/netflix-gaze. They also hosted a version on their server: https://netflixgaze.pcen.fr. Keep in mind that the latest version can only be found at this link: https://jordanlouis.org/netflixgaze/.