iiinova — where your digital self keeps evolving

Greta Warren @gretawarren.bsky.social · 02/09/2026

How do people use images to spread misinformation online?🖼️ We developed a taxonomy, analysed 27k posts from X in 7 languages & found: 🔹Slanted framing of real images is more common than deepfakes and doctored images 🔹Vaccine misinfo borrows credibility via news screenshots arxiv.org/abs/2608.29681

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Isabelle Augenstein @iaugenstein.bsky.social · 18/08/2026

📣 Hiring postdoc in Mechanistic Understanding of AI Reasoning 📣 ⏳ Application deadline: 30 Sep 2026 🏁 Start date: 1 Feb 2027 💼 Contract length: 2 years 🏰 Workplace: @aicentre.dk @copenlu.bsky.social ℹ️ Apply here: candidate.hr-manager.net/ApplicationI... #academicjobs #NLProc #XAI

candidate.hr-manager.net

Postdoctoral Researcher in Mechanistic Understanding of AI Reasoning

The position We are seeking to recruit a postdoctoral researcher to work on understanding the mechanisms of AI reasoning. Their core duty will be to advance our

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Greta Warren @gretawarren.bsky.social · 24/06/2026

I’m in lovely Montréal attending #FAccT2026 this week! 🍁⚜️ I’ll be presenting our paper on how people use evidence and explanations when they make decisions about LLM fact-checks 🔎 Check out the paper here, or say hi during the conference! dl.acm.org/doi/10.1145/...

Title: Show me the evidence: Evaluating the role of evidence and natural
language explanations in AI-supported fact-checking

Authors: GRETA WARREN, Department of Computer Science, University of Copenhagen, Denmark
JINGYI SUN, Department of Computer Science, University of Copenhagen, Denmark
IRINA SHKLOVSKI, University of Copenhagen, Denmark & Linköping University, Sweden
ISABELLE AUGENSTEIN, Department of Computer Science, University of Copenhagen, Denmark

Abstract: Although much research has focused on AI explanations to support decisions in complex information-seeking tasks such as
fact-checking, the role of evidence is surprisingly under-researched. In our study, we systematically varied explanation type,
AI prediction certainty, and correctness of AI system advice for non-expert participants, who evaluated the veracity of claims
and AI system predictions. Participants were provided the option of easily inspecting the underlying evidence. We found
that participants consistently relied on evidence to validate AI claims across all experimental conditions. When participants
were presented with natural language explanations, evidence was used less frequently although they relied on it when these
explanations seemed insufficient or flawed. Qualitative data suggests that participants attempted to infer evidence source
reliability, despite source identities being deliberately omitted. Our results demonstrate that evidence is a key ingredient in
how people evaluate the reliability of information presented by an AI system and, in combination with natural language
explanations, offers valuable support for decision-making. Further research is urgently needed to understand how evidence
ought to be presented and how people engage with it in practice.

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Pepa Atanasova @apepa.bsky.social · 10/06/2026

We are hiring a postdoc for a project on emergent deception in human-AI interaction, combining behavioural psychology, economics, and machine learning. Supervised by Ingo Zettler and me at @copenlu.bsky.social & @cphsodas.bsky.social , Copenhagen. ⏰Deadline: 5/July/2026 📅Start: 1/10/2026 Link 👇

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CopeNLU @copenlu.bsky.social · 09/12/2025

CopeNLU had a blast attending @euripsconf.bsky.social last week -- thanks so much to the organisers (Søren Hauberg, @serge.belongie.com, Bernhard Schölkopf, Aasa Feragen) for putting this together! Non-scientific highlights were clearly the banquet dinner & the specially brewed EurIPA.

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Isabelle Augenstein @iaugenstein.bsky.social · 01/09/2025

- Fully funded PhD fellowship on Explainable NLU: apply by 31 October 2025, start in Spring 2026: candidate.hr-manager.net/ApplicationI... - Open-topic PhD positions: express your interest through ELLIS by 31 October 2025, start in Autumn 2026: ellis.eu/news/ellis-p... #NLProc #XAI

candidate.hr-manager.net

PhD fellowship in Explainable Natural Language Understanding Department of Computer Science Faculty of SCIENCE University of Copenhagen

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD f

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CopeNLU @copenlu.bsky.social · 04/08/2025

Thanks for everyone who came to our #acl2025nlp presentations (even the informal ones). Hope to connect again at #emnlp2025! #NLProc @siddheshp.bsky.social @lovhag.bsky.social @saravera.bsky.social @nadavb.bsky.social @gretawarren.bsky.social @iaugenstein.bsky.social

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Greta Warren @gretawarren.bsky.social · 30/07/2025

Presenting this today at #ACL2025NLP! Come to Board 26 in Hall 5X to talk about the relationship between community notes and fact-checking and the future of content moderation 🔎

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Nadav Borenstein @nadavb.bsky.social · 28/07/2025

If you are attending #ACL2025, come and check out our cool poster on Wednesday at 11 am! (Oh yeah, I forgot to announce that the paper got accepted to the main proceedings of #ACL2025, oops)

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Isabelle Augenstein @iaugenstein.bsky.social · 27/07/2025

Congrats to the best poster awardees! @ajyl.bsky.social Shared Geometry of LMs: arxiv.org/pdf/2503.21073 Antonia Karamolegkou, Multimodal LMs for Visual Impairment: aclanthology.org/2025.acl-lon... @gretawarren.bsky.social Can Community Notes Replace Fact-Checkers? aclanthology.org/2025.acl-short

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Paolo Papotti @papotti.bsky.social · 01/06/2025

🚨 𝐖𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞 𝐜𝐫𝐨𝐰𝐝 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐭𝐡𝐞 𝐟𝐚𝐜𝐭-𝐜𝐡𝐞𝐜𝐤𝐞𝐫? new "Community Moderation and the New Epistemology of Fact Checking on Social Media" with I Augenstein, M Bakker, T. Chakraborty, D. Corney, E Ferrara, I Gurevych, S Hale, E Hovy, H Ji, I Larraz, F Menczer, P Nakov, D Sahnan, G Warren, G Zagni

arxiv.org

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Pioneer Centre for AI @aicentre.dk · 28/05/2025

Join us in Copenhagen for the Pre-ACL 2025 Workshop! 🇩🇰 We’re excited to welcome researchers and practitioners in Natural Language Processing, Generative AI, and Language Technology to a one-day workshop on 26 July 2025 – just ahead of ACL 2025 in Vienna. Learn more: www.aicentre.dk/events/pre-a...

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Eoin Delaney @eoindelaney.bsky.social · 14/05/2025

🚨 Please share with your network as I will be considering applications on a rolling basis for this exciting (and fully funded💰) PhD project at @tcddublin.bsky.social on Explaining and Mitigating Bias in Advice from Large Language Models 🤖💬🔍🤨 Details - www.tcd.ie/media/tcd/sc...

tcd.ie

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Greta Warren @gretawarren.bsky.social · 28/04/2025

this one gets my personal ‘best title’ award #CHI2025

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Greta Warren @gretawarren.bsky.social · 27/04/2025

Having an amazing time so far in Yokohama for #CHI2025! 🌸 I'll be presenting our paper, Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking, at the Explainable AI session tomorrow! ✨ 📅 Monday, April 28 | 4:56 PM 📍G303 🔗 programs.sigchi.org/chi/2025/pro...

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Pepa Atanasova @apepa.bsky.social · 11/04/2025

🎓 Fully funded PhD in interpretable NLP at the University of Copenhagen & @aicentre.dk with @iaugenstein.bsky.social and me, @copenlu.bsky.social 📆 Application deadline: 15 May 2025 👀 Reasons to apply: www.copenlu.com/post/why-ucph/ 🔗 Apply here: candidate.hr-manager.net/ApplicationI... #NLProc #XAI

copenlu.com

Interested in joining us at the University of Copenhagen? | CopeNLU

The University of Copenhagen is a great place if you're both interested in high-quality NLP research and a high quality of life.

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Arnav Arora @rnv.bsky.social · 07/04/2025

🚨New pre-print 🚨 News articles often convey different things in text vs. image. Recent work in computational framing analysis has analysed the article text but the corresponding images in those articles have been overlooked. We propose multi-modal framing analysis of news: arxiv.org/abs/2503.20960

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Nadav Borenstein @nadavb.bsky.social · 21/02/2025

🚨 Preprint alert 🚨 𝐂𝐚𝐧 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐍𝐨𝐭𝐞𝐬 𝐑𝐞𝐩𝐥𝐚𝐜𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐅𝐚𝐜𝐭-𝐂𝐡𝐞𝐜𝐤𝐞𝐫𝐬? (arxiv.org/abs/2502.14132) Fact-checking agencies have come under intense scrutiny in recent months regarding their role in combating misinformation on social media.

Can Community Notes Replace Professional Fact-Checkers? Work done by Nadav Borenstein, Greta Warren, Desmond Elliott, and Isabelle Augenstein.

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Pepa Atanasova @apepa.bsky.social · 17/02/2025

Check our new work on making natural language explanations more faithful to a model’s reasoning. We combine GNNs + highlight explanations to improve faithfulness! Read more: arxiv.org/pdf/2412.12318 @copenlu.bsky.social

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Greta Warren @gretawarren.bsky.social · 14/02/2025

How can explainable AI empower fact-checkers to tackle misinformation? 📰🤖 We interviewed fact-checkers & identified explanation needs & design implications for #NLP, #HCI, and #XAI. Excited to present this work with @iaugenstein.bsky.social & Irina Shklovski at #chi2025! arxiv.org/abs/2502.09083

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