Our Vision

A data-activism project; We develop tech to dissect & expose Youtube influence.

Install youtube.tracking.exposed browser extension


Our last experiments:

FiterTUbe: Echo chambers, Filter Bubble and Polarization on Youtube.

Collective project made during the Digital Methods Winter School 2021. This paper studies the construction of filter bubbles and political polarization under YouTube 's algorithmic personalization, in a time where the political division runs deep in the US and the 2020 election reaffirms the polarization.

Polarization and Reinforcement

Three days analysis with ten researchers. The research aim to split the group in two and see how different activities are considered by YT to personalize the next recommendation.

Compare and Guess

Three days initial research with a dozen of students: we began by mapping Youtube personalization differences and distances.

What we have done, year by year:

2020
  • The year begun with heated debate and articles on academic research using API or non-logged profiles. We were happy! because, someone acknowledges that you can't investigate algorithms without a passive scraper, which is precisely what we do, and we hope to be used by researchers.
  • Keep improving visualization in personal page.
  • Compare video from the same Author.
  • The first collaborative test is happening! wetest#1, inspired by the first collective observation of PornHub algorithm

2019
  • Released working browser extension, good enough for researchers and running workshops. A good high level description is in our project analysis.
  • Released a page with a summary of our first experiments.
  • Give control to researchers and individuals: a supported can tag their contributions, and remove any evidence they don't want to preserve. Download data in CSV format or via API.
  • Public stats.