#dataskop

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Blog, 14 March 2022

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.

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Story, 22 September 2021

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.

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Blog, 15 July 2021

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.

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Team, 28 September 2020

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.

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Project, 15 September 2020

DataSkop

DataSkop is a platform for data donations used to examine and scrutinize algorithmic decision-making systems and to strengthen the users’ digital autonomy. In its first project AlgorithmWatch and a consortium of researches are using data donations to shed light on YouTube’s black-box recommendation algorithm.

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