#dataskop (6 results)

What does TikTok know about you? Data donations deliver answers!

Companies like Facebook, Instagram, Google, and TikTok often know about the harmful effects of their algorithmic systems and yet continue to prevent independent research on them. Data donations like DataSkop are one of the few ways to investigate opaque algorithms.

YouTube Newsfeed

DataSkop: simulating the dynamics of recommender systems

Several thousands of supporters donated their YouTube profile data on our platform DataSkop. We have developed a simulator that is designed to demonstrate basic principles of recommendation algorithms such as YouTube's.

YouTube cleaned its ‘news’ section… with content from Axel Springer

First findings of a data donation experiment by AlgorithmWatch show that Die Welt, a conservative news outlet from the German media conglomerate Axel Springer, dominates the news section.

DataSkop: Investigating YouTube’s algorithm during Germany’s election campaign

Which videos does YouTube's recommender system suggest to users during the german election campaign? The new data donation platform “Dataskop” developed by AlgorithmWatch is helping researchers and journalists investigate how users' watch histories influence the platform’s recommendations and search results. From 15 July until 25 August, users can donate their data and explore the algorithm in data visualization experiments.

Welcome to our DataSkop team: Sana, Rachel and Johannes

With our new project DataSkop three new colleagues have joined AlgorithmWatch. We are delighted to welcome Sana, Rachel and Johannes to the team.

DataSkop

DataSkop is a platform designed to analyze algorithmic decision-making systems through data donations. Interactive experiments and visualizations help users learn to understand data streams and get an idea of the impacts that algorithms have.