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

Install youtube.tracking.exposed browser extension


Collective algorithm observations and workshop results


FiterTube: Echo chambers, Filter Bubble and Polarization

During the US elections, we realized a collective project at the Digital Methods Winter School 2021. We simulated echo chambers, we studied the construction of filter bubbles and consequent political polarization of suggestions.

Trexit: Polarization and Reinforcement during Brexit

During Brexit, we made a three days analysis of the algorithm with ten researchers from all over the world. The research aims to split the group in two and see how YT considers different activities to personalize the following recommendation.

Personalization: every second matters

Our first research with a dozen of students: we began by mapping Youtube personalization differences and distances. Watching a video for a few seconds more is enough to get different recommendations. We tested the sperimental 'clean browser'.



Updates and releases


2021
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.