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Tereza Blazkova

@terezablazek.bsky.social
138 followers 203 following 6 posts

PhD Student in Social Data Science, University of Copenhagen AI & Society | Algorithmic Fairness | ML | Education Data Science tereza-blazkova.github.io

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Tereza Blazkova @terezablazek.bsky.social · 03/06/2026
In Brussels today for Fulbright Schuman welcome & farewell reception, and in the meantime, catching up with friends from Erasmus ☺️🇪🇺
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Reposted by Tereza Blazkova
Louis Boucherie @louisboucherie.com · 22/05/2026
Is the fashion industry actually becoming more inclusive? We analyzed 793,199 records over 25 years to find out. Our results are published today in PNAS. www.pnas.org/doi/10.1073/...
pnas.org
Cultural evolution of beauty standards | PNAS
Beauty standards shape self-perception and health through social comparison and objectification, while exposure to idealized imagery exacerbates bo...
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Reposted by Tereza Blazkova
Mark Riedl @markriedl.bsky.social · 14/05/2026
ArXiV has a new LLM policy (Screenshots with alt text so you don’t have to click through to the other place and see all the stupid responses)
Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/If generative AI tools generate inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content, and that output is included in scientific works, it is the responsibility of the author(s). 2/

We have recently clarified our penalties for this. If a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can't trust anything in the paper. 3/The penalty is a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted at a reputable peer-reviewed venue. 4/

Examples of incontrovertible evidence: hallucinated references, meta-comments from the LLM ("here is a 200 word summary; would you like me to make any changes?"; "the data in this table is illustrative, fill it in with the real numbers from your experiments") end/
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Reposted by Tereza Blazkova
Luca Maria Aiello @lajello.bsky.social · 17/04/2026
Thrilled to announce CS2Nordics: the First Nordic Conference on Computational Social Science. Copenhagen, September 21-22, 2026. We invite all CSS researchers in the Nordics as well as in the international research community to submit 2-page abstracts by June 19: nosocss.org/conference.h....
View over the canal in Nyhavn, Copenhagen
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Reposted by Tereza Blazkova
Jason W. Burton @jasonburton.bsky.social · 11/03/2026
🧑‍💻 New paper at #chi2026 w @lorenzspreen.eurosky.social and @stefanherzog.bsky.social Are you worried about how social media algorithms affect people’s beliefs? We are, so we tested engagement-based ranking algorithms against alternatives in a pre-reg’d collaborative filtering experiment... 🧵
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Reposted by Tereza Blazkova
Luc Rocher @rocher.lc · 09/02/2026
⚠️ Despite all the hype, chatbots still make terrible doctors. Out today is the largest user study of language models for medical self-diagnosis. We found that chatbots provide inaccurate and inconsistent answers, and that people are better off using online searches or their own judgment.
Banner image with screenshot of scientific article from nature Medicine, as well as two panels from the study method and results
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Copenhagen Center for Social Data Science (SODAS) @cphsodas.bsky.social · 09/12/2025
Join us for a Data Discussion on December 12! 📅 Yani Kartalis will discuss content plurality in Greece’s fragmented media system, while Tereza Blažková will present on participatory design in predictive modeling for student success. Event🔗: sodas.ku.dk/events/sodas...
sodas.ku.dk
SODAS Data Discussion 4 (Fall 2025)
SODAS is delighted to host Yani Kartalis and Tereza Blazkova for the Fall 2025 Data Discussion series!
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Reposted by Tereza Blazkova
Allison Koenecke @allisonkoe.bsky.social · 01/12/2025
Check out @isabelcorpus.bsky.social's fantastic thread on our paper studying the effects of a "write with AI" button on change.org! ✍️ Spoiler: the effects of AI aren't always positive.
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Reposted by Tereza Blazkova
Copenhagen Center for Social Data Science (SODAS) @cphsodas.bsky.social · 31/10/2025
Join us for a Data Discussion on Friday, November 7! 📅 Daniel Juhász Vigild will start by exploring how government use of AI impacts its trustworthiness, while Stephanie Brandl will examine whether LLMs can identify and classify fine-grained forms of populism. Event🔗: sodas.ku.dk/events/sodas...
sodas.ku.dk
SODAS Data Discussion 3 (Fall 2025)
SODAS is delighted to host Daniel Juhász Vigild and Stephanie Brandl for the Fall 2025 Data Discussion series!
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Reposted by Tereza Blazkova
Sandra Wachter @swachter.bsky.social · 26/08/2025
time to implement it into healthcare systems www.reddit.com/r/ChatGPT/co...
reddit.com
From the ChatGPT community on Reddit: ChatGPT asked if I wanted a diagram of what’s going on inside my pregnant belly.
Explore this post and more from the ChatGPT community
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Tereza Blazkova @terezablazek.bsky.social · 22/07/2025
Cheers from Learning@Scale poster 033 😋
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Tereza Blazkova @terezablazek.bsky.social · 21/07/2025
While human behavior and the data describing it evolve over time, fairness is often evaluated at a single snapshot. Yet, as we show in our newly published paper, fairness is dynamic. We studied how fairness evolves in dropout prediction across enrollment and found that it shifts over time.
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Germans Savcisens (Savčišens) @savcisens.com · 02/01/2025
Happy to write this News & Views piece on the recent audit showing LLMs picking up "us versus them" biases: www.nature.com/articles/s43... (Read-only version: rdcu.be/d5ovo) Check out the amazing (original) paper here: www.nature.com/articles/s43...
nature.com
Large language models act as if they are part of a group - Nature Computational Science
An extensive audit of large language models reveals that numerous models mirror the ‘us versus them’ thinking seen in human behavior. These social prejudices are likely captured from the biased conten...
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