iiinova — where your digital self keeps evolving

Reposted by Nadav Borenstein

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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Reposted by Nadav Borenstein

Dustin Wright @dustinbwright.com · 13/10/2025

Which, whose, and how much knowledge do LLMs represent? I'm excited to share our preprint answering these questions: "Epistemic Diversity and Knowledge Collapse in Large Language Models" 📄Paper: arxiv.org/pdf/2510.04226 💻Code: github.com/dwright37/ll... 1/10

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Reposted by Nadav Borenstein

Amelie Wuehrl @nlp-amelie.bsky.social · 05/09/2025

Crowdsourcing datasets is very common, but how much of those results come from LLMs these days? How can we prevent it? Much of it is unclear. This is why we’re conducing a survey (~10 min) to gather community experiences, challenges, and solutions. Share your thoughts 👉https://tinyurl.com/39ab55wf

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Qualtrics Survey | Qualtrics Experience Management

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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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Reposted by Nadav Borenstein

Isabelle Augenstein @iaugenstein.bsky.social · 20/03/2025

Massive congrats to @nadavb.bsky.social for passing his PhD defence yesterday! 👏👏👏 Thanks to Anders Søgaard, @radamihalcea.bsky.social @ricosennrich.bsky.social for serving as examiners. You can find his thesis here, which the committee characterised as "a joy to read": arxiv.org/abs/2503.07395

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

This, in turn, will limit the efficacy of community notes, particularly for high-stakes claims related to health and broader conspiracy narratives. Work done with @gretawarren.bsky.social, @delliott.bsky.social, and @iaugenstein.bsky.social.

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

Fact-checkers conduct in-depth research beyond the reach of amateur users, while community notes publicise their work. The move to end partnerships and funding for fact-checking agencies will hinder their ability to pursue investigative journalism, which community note writers rely on.

Fig. 3. strategies in debunking claims related to broader nar-
ratives. (b) the different ways in which fact-checking sources
are used to debunk claims.

Fig. 4. Distribution of notes’ topics, with and without a fact-
checking source.

Fig. 5. Percentage of samples related to a broader narrative or
conspiracy vs. have a fact-checking source.

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

This work examines how this recent development might impact the efforts to combat misinformation spread on social media by studying fact-checking’s role in Twitter’s community notes. We find that community notes and professional fact-checking are deeply interconnected:

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

The current political climate has prompted Meta to shift away from partnerships with fact-checkers to increased reliance on crowdsourced community notes—the model used by Twitter.

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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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Reposted by Nadav Borenstein

CopeNLU @copenlu.bsky.social · 20/11/2024

Hello, world! We're a Natural Language Understanding group at the University of Copenhagen (faculty: @iaugenstein.bsky.social, @apepa.bsky.social). Follow us for updates about our research, open positions, and more! More about us: www.copenlu.com #NLP #NLProc #ML #XAI

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