Dieuwertje Luitse

Dieuwertje Luitse

@dluitse.bsky.social

PhD candidate at the University of Amsterdam on Data Bodies, Critical AI in Health Decision-making | Ethics & Politics of AI systems, Platforms, Political Economy | she/her | 🔗 https://www.uva.nl/en/profile/l/u/d.luitse/d.luitse.html

647 followers875 following28 posts

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How do researchers, journalists & artists work with the Wayback Machine? At a recent gathering in Amsterdam, we explored how web archives support digital investigations, platform research & media art — and how we can build better tools & collaborations. 👉 www.internetarchive.eu/2026/02/18/w...

internetarchive.euWays of working with the Wayback Machine - Internet Archive EuropeGuest post by Jonathan W. Y. Gray. How do researchers, journalists, and artists work with archived pages from the Internet Archive's Wayback Machine? What kinds of tools, methods, and approaches do th...

✨Welcoming Fabian Offer for the next #CriticalAI Seminar (online) on his upcoming book "Vector Media" on January 13, 2026 5:30-7 PM (Amsterdam)✨ The talk presents a new history and theory of the vector space in contemporary #AI systems 🗓️ Register here: www.create.humanities.uva.nl/events/2-cri...

create.humanities.uva.nl#2 Critical AI Seminar Series: Vector MediaJanuary 13, 17:30-19:00 (CEST): Vector Media This talk presents a new history and theory of the vector space in contemporary artificial intelligence systems. I will argue that the inevitable bias of s...

CfP ✨Consider submitting to this fantastic panel on Deep Learning and Culture at the STS NL Conference ✨ Organised by @louravn.bsky.social @annaschjoett.bsky.social Dasha Simons, Paula Helm and Tobias Blanke (@d-eepculture.bsky.social)

Louis Ravn@louravn.bsky.social

🚨 Call for presentations: “Deep Learning and Culture” panel 🔍 We're organizing a panel on “Deep Learning and Culture” at the STS NL Conference (Uni of Twente, 17-19 April 2026). 📮 Please submit your abstract here: www.utwente.nl/en/bms/sts-n.... Deadline: 07 Jan. 2026. See you there :)

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We are excited to report that we have started developing our first *Little Tools of Difference*. While deep learning has been driven by a culture of uniformity, we asked: What if we used these same state-of-the-art architectures to do the opposite? More prototypes are coming soon, so stay tuned!

In addition, they will propose a series of critical reading strategies for scholars in the interpretive social sciences and humanities, who, in their own way, face the problem of reading texts for whom they are not the intended audience

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With @best.wel.moe and @nieuwsuur.nl, we studied Google's AI Overviews for political searches in the NL. We found that larger parties often benefit and that Google changed its use of AI Overviews *three times* during the run-up to the Dutch elections. Read the article here: nos.nl/nieuwsuur/ar...

nos.nlGoogle zet gekleurde AI-antwoorden midden in campagnetijd aan, uit, en weer aanGroenLinks-PvdA, D66 en de VVD worden in de antwoorden op algemene politieke vragen het vaakst genoemd. Kleinere partijen komen veel minder vaak aan bod.

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✨excited to start my UKRI AI Metascience fellowship, where I’ll examine how AI-generated synthetic data is (re)shaping medical research cultures and knowledge practices. Super happy to be staying at Durham University with @amoorelouise.bsky.social as my mentor! www.ukri.org/news/interna...

ukri.orgInternational fellowships to explore AI’s impact on scienceNew £4 million programme funds early career researchers in the UK, US and Canada to investigate how artificial intelligence (AI) is transforming science.

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Super fun to contribute to this brief interview with Terminally Online, a student-led organization on New Media at the University of Amsterdam. We spoke about my wonderful team‘s research (@d-eepculture.bsky.social), who inspires me, and some of my own work. 🔗: www.linkedin.com/pulse/interv...

linkedin.comInterview with Louis RavnLouis Ravn is a PhD Candidate on Deep Culture at the University of Amsterdam, working in the fields of science and technology studies and critical data/AI studies. Moreover, he is assistant editor for...

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I am very excited and honoured to be the recipient of an ERC Starting Grant, starting January 2026 🔆 @erc.europa.eu. The five-year project will explore the broader social, political, and ethical implications of training algorithmic models on synthetic data. www.york.ac.uk/news-and-eve...

york.ac.ukNew project to investigate societal consequences of using synthetic data to train algorithmsResearchers in the University of York’s Department of Sociology will lead one of the first large-scale, systematic social science studies of synthetic data.

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I have a new article out: "Do artifacts have political economy?" It's a riff on an old argument by Langdon Winner about the embedding of politics in technology #STS #sociology #technoscience #technology #innovation journals.sagepub.com/doi/10.1177/...

journals.sagepub.comDo Artifacts Have Political Economy? - Kean Birch, 2025Harking back to Langdon Winner's now classic essay “Do artifacts have politics?,” my aim in this article is to ask a very similar question—namely, do artif...

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📅 5th of June - Join the médialab conference "Social Science and Generative AI: Inquiries, Instruments, Consequences" A one-day event examining generative AI as a sociotechnical device and exploring its effects on scientific work, as well as its epistemological and social implications 🌐 Info ⬇️

medialab.sciencespo.frSocial Science and Generative AI: Inquiries, Instruments, Consequences | médialab Sciences PoThis one-day conference will reflexively examine generative AI as sociotechnical devices, discussing its effects on scientific work and its epistemological and social implications. The presentations w...

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1) ✨ Deeply honoured to be delivering a keynote at RESAW 2025 – The Datafied Web at Universität Siegen! My talk "Vanishing Points: Technographies of Data Loss" will explore politics & temporalities of disappearing data in our age of platformization.

Sebastian Gießmann@sebgiessmann.bsky.social

🕸️ We are doing this conference at Media of Cooperation this June ... It is called THE DATAFIED WEB, and it will be a blast! Registration for #RESAW25 is now open. Please spread widely, and do not forget to check out the marvelous programme at datafiedweb.net! #www #history #archive #data #AI

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⚡Thrilled to see the first papers to our Topical Collection published in Digital Society ✨Thank you @alexcampolo.bsky.social and Allison Jerzak for your fantastic contributions! 👀 For more info and future publications, keep an eye out on link.springer.com/collections/... ✨

link.springer.comPolitics of Machine Learning EvaluationIs the data good enough for training purposes? Does the model perform accurately enough? Is the error rate low enough? Such questions of ‘good enough’ are at ...
Anna Schjøtt@annaschjoett.bsky.social

✨The first two papers in our Topical Collection on the 'Politics of Machine Learning Evaluation' are out in Digital Society! The collection is edited together with @dluitse.bsky.social and Tobias Blanke, with the great support of Digital Society and Federica Russo. link.springer.com/collections/...

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I have a short reflection on benchmarking in machine learning, titled "State-of-the-Art." Beyond questions of construct validity and rankings, how do benchmarks and model evaluation produce orientations towards progress or the future? Open access: doi.org/10.1007/s442...

doi.orgState-of-the-Art: The Temporal Order of Benchmarking Culture - Digital SocietyThis commentary situates the epistemic values of machine learning’s culture of benchmarking and evaluation within larger temporal structures. Beyond questions of validity, whether model comparisons ar...

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New essay in @nytimes.com✨ With @richove.bsky.social I discuss gov data deletion of vital datasets and health resources as political strategy. Special thx to brilliant (!) @ktmac.bsky.social for our exciting discussions that has shaped this thinking! Thank you @erc.europa.eu for enabling our work

Richard Ovenden@richove.bsky.social

The deletion of websites and other government data is a dangerous attack on knowledge, harming democracy. My colleague @nannathylstrup.bsky.social & I contribute a guest essay in @nytimes.com today: www.nytimes.com/2025/04/11/o...

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dear machine learners, “hallucination” are not “incorrect facts”. try “incorrect statements”, “lies” or “made up bs” instead. the very idea of an “incorrect fact” is an oxymoron and intellectually deceptive thank you!

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Replying to @abeba.blacksky.app

Yes! We have an article coming out on the term hallucination in LLM documentation soon, one of the claims is that the term itself is made to relieve the creators from the moral burden and responsibility of spreading lies, because the term hallucination is not morally loaded, it "happens unwillingly"