Nicolas Kayser-Bril


Photo: Julia Bornkessel, CC BY 4.0

Nicolas is a French-German journalist. He pioneered data-driven journalism in Europe, regularly speaks at international conferences, and taught journalism at several journalism schools in France, Switzerland and Russia. As a self-educated developer, he created interactive, data-driven applications for Le Monde. He built the data journalism team at OWNI and co-founded and managed Journalism++ from 2011 to 2017. Nicolas was one of the main authors of the Datajournalism Handbook.

Articles for AlgoritmWatch

Photo by Christopher Gower on Unsplash

Blog, 4 January 2023

AlgorithmWatch welcomes first fellows in algorithmic accountability reporting

After the announcement that we offer a fellowship in algorithmic accountability reporting, we received over 100 applications and were overwhelmed by the quality and diversity of them. After a careful examination, we’re very happy to introduce our first six fellows, an outstanding group of journalists, academics, and a civil society activist.

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Photo by Stephen Dawson on Unsplash

Blog, 27 December 2022

The year automated systems might have been regulated: 2022 in review

Automated systems were surprisingly absent from this year’s major stories. On the regulation front, European institutions stepped up their efforts. How much change Europeans can expect depends on the institutions’ resolve, and the first test of 2023 already began.

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Photo by Mika Baumeister on Unsplash

Story, 9 December 2022

Wolt: Couriers’ feelings don’t always match the transparency report

In August, the Finnish delivery service Wolt published its first “algorithmic transparency report”. We asked three couriers about their experiences. They don't always match the report’s contents.

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A person voting in Washington, D.C. Negative by Marion S. Trikosko, 1964.

Story, 1 December 2022

Algorithmic elections: How automated systems quietly disenfranchise voters

In the United States, automated systems purge voters rolls and verify signatures. They sometimes discard valid votes, especially in historically marginalized communities. Such systems are unlikely to be as widespread in the European Union.

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Jack Sharp - unsplash

Story, 30 November 2022

Mastodon could make the public sphere less toxic, but not for all

The open-source social network gained millions of new users following Twitter’s takeover. While some of its features could improve the quality of public discourse, disadvantaged communities might be excluded.

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Image: Mastodon gGmbH

Story, 2 November 2022

The fediverse is growing, but power imbalances might stay

Alternative social network Mastodon, which has no algorithmic timeline and a decentralized structure, is rapidly gaining steam. But the regulatory framework, which was built for billion-dollar companies, could dampen its growth.

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Photo by NordWood Themes on Unsplash

Story, 2 November 2022

How researchers are upping their game to audit recommender systems

Recommender systems, such as a social network’s news feed or a streaming service’s recommendations, are notoriously difficult to audit. Despite high hurdles, practitioners from journalism and academia are pushing forward.

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Photo by Etienne Girardet on Unsplash

Blog, 26 October 2022

AlgorithmWatch is offering 5 fellowships in algorithmic accountability reporting

Fellows will receive €1,200 per month during 6 months and will report on automated decision-making in Europe.

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"The scam truck" by jepoirrier is licensed under CC BY-SA 2.0 .

Story, 20 October 2022

Meta is sued for abetting fraud, and they don’t want you to know about it

The Australian consumer commission accuses Meta of helping scammers defraud its users. The scams are global and the legal case could have repercussions elsewhere.

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Image by EFF Photos on flickr

Story, 15 September 2022

Face recognition data set of trans people still available online years after it was supposedly taken down

A US academic scraped videos off YouTube to train face recognition software on pictures of trans people. New research reveals that his methods were even more carefree than previously known.

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