September 2020 updates

Note internal report = seldom proofread.

1. 27th of September, 15:15 - 17:45: Tracking Exposed workshop in Berlin

The Tracking Exposed collective project empowers users to gain knowledge of tracking and profiling that determine the information we receive in data market and under the influence of proprietary algorithms. In this workshop, we'll introduce the browser extension Youtube.Tracking.Exposed, aimed at the study of YouTube filter bubbles.

…Participants will learn how to install the extension and how to use it to collect evidence of their own filter bubble. The group will also perform a collective algorithm observation using the collected data of the video suggestions from YouTube. The simple test will enable participants to analyze the results comparing their personalisation with the rest of the group, thus learning a methodology to produce evidence about tracking and algorithm analysis. Data visualization (like Gephi, Tableau and R..) will be used to provide a graphic representation of the experiment. Check some previous collective observations of the YouTube and Pornhub algorithms to get an idea!”

2. Paper accepted!

The 14 pages paper it is under peer review, this is the preprint[.pdf]. The data [files on git] CSV and JSON.

3. Updated the analysis and publication page.

With five various entry, shiny such as the one below:

link Extrenal resource Author: Matthew Linears Published in: September

Designing data transparency – ideas from the community

YourData is openDemocracy’s project to bring more transparency to data use on the web. Personalisation is where websites shows you specific content dependent on data they have about you. Like showing you information about floral dresses because they think you’re a woman, or more articles about Bernie Sanders because you’re viewing from the US. -- this is the opening of YourData initiative from openDemocracy, as Tracking Exposed we partecipated with a few proposals

See also: Matthew Linears article list