Nir Grinberg

Assistant prof. @BenGurionU, dad^3, train+bike, tired/aspiring barista. Studying how information systems can better serve us using ML, NLP, Stats, CSS, HCI.

[Alexi Quintana Mathé @Alexi17866745]

1/ Our new book with Zhen Guo, Nir Grinberg and David Lazer is out in @CambridgeUP Elements: Who Follows Whom? The Role of Geography and Similarity in Online Attention Networks

https://t.co/w4U7SSkE8a

[Nir Grinberg @grinbergnir]

🎉 Super proud of this work out of our lab at @BenGurionUni ! Huge thanks to my co-authors Itay Razumenko and Arnon Sturm.

[Nir Grinberg @grinbergnir]

🚨 Excited to share our new paper to appear in the Findings of ACL 2026!

JudgeMeNot asks: Can LLMs learn the specific reasoning signature of an individual judge? We tackle this in low-resource settings of Hebrew case law.

🔗Paper: https://t.co/OG4HqTwBSG
🧵on nicer platforms👇

[Nir Grinberg @grinbergnir]

LinkedIn:
https://t.co/dIqWGaPUoI

[Ben-Gurion University of the Negev @bengurionu]

Can social media detect economic shocks before official data does?
A new PNAS Nexus study led by @grinbergnir and @spfraib shows that AI models tracking job-loss disclosures on social media can predict U.S. unemployment insurance claims up to two weeks early, often

[Sam Fraiberger 🔎🌍 @spfraib]

New paper out in @PNASNexus

We show how skewed social media data can still be used to reliably estimate unemployment, not just nationally but down to the city level. 📈

https://t.co/KK18GlY1Sb

1/N

[Kevin Yang @yang3kc]

ICYMI, our DomainDemo dataset, which describes how different demographic groups share domains on Twitter, is now available to download!

📄 Data descriptor: https://t.co/ZNqDHPYrxg
📈 Interactive app to explore the data: https://t.co/EOX1aqYOti
💽 Dataset: https://t.co/lHo4BPzzA8

[Nir Grinberg @grinbergnir]

@yoavgo כדי למנוע self-plagiarism 🤣
או כדי לתת לנו את האפשרות למחוק את השטויות שאנחנו כותבים לפני שמודלי שפה לומדים את זה ומציעים לנו את זה בחזרה.

[Nir Grinberg @grinbergnir]

Also check out the @BenGurionU news story about the study, which reminded me to write this 🧵🤦https://t.co/pmNOe9nAjg

[Nir Grinberg @grinbergnir]

A belated 🧵 about our latest #KDD2024 paper. We developed a novel machine-learning approach for identifying fake news *sources* by leveraging network info and active learning 👇 https://t.co/b0SBTdbwah

[Nir Grinberg @grinbergnir]

This work wouldn't have been possible without the amazing work of Maor Reuben, @Ldfriedl & @PPuzis. Some of the intuition for looking at this problem came from past work done w/ @_kenny_joseph and @davidlazer.

[Ross Dahlke 🔑 @Ross_Dahlke]

Among registered voters matched to Twitter, just 2k voters accounted for 80% of misinformation URLs on Twitter in the 2020 US Election; these "supersharers" are older, female, Republican, and less educated, finds Baribi-Bartov, @Briony_Swire & @grinbergnir https://t.co/ec6kH0RnuM