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Nir Grinberg

@nirg.bsky.social

185 followers 174 following 28 posts

Assistant prof. at BGU in the field of Computational Social Science.

Nir Grinberg @nirg.bsky.social · 07/05/2026

🚨 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 the low-resource setting of Hebrew case law. 🔗 arxiv.org/abs/2604.18041 🧵👇

The illustrative diagram shows our approach for training personalized LLMs to emulate Judge A (textualist) vs. Judge B (purposivist) and how those trained models might respond to a legal query.

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Reposted by Nir Grinberg

Ben-Gurion University of the Negev @bengurionuniv.bsky.social · 09/01/2026

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

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Nir Grinberg @nirg.bsky.social · 13/01/2026

New paper out in @pnasnexus.org: We show how skewed social media data can still be used to reliably estimate unemployment, not just nationally but down to the city level. 📈 doi.org/10.1093/pnas... 1/N

doi.org

Can social media reliably estimate unemployment?

Abstract. Digital trace data hold tremendous potential for measuring policy-relevant outcomes in real-time, yet its reliability is often questioned. Here,

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Kevin Yang @yang3kc.bsky.social · 17/01/2025

Introducing “DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter.” Today, we release five derived metrics of over 129,000 domains, quantifying their characteristics such as geographical reach and audience partisanship. 1/3

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Ross Dahlke @rossdahlke.bsky.social · 17/01/2024

Incels (involuntarily celibates) are increasingly using violent language, particularly non-directed violent language in the largest incel forum, finds @danielmatter.bsky.social @miriamschirmer.bsky.social @nirg.bsky.social @jurgenpfeffer.bsky.social arxiv.org/abs/2401.02001

Close to Human-Level Agreement: Tracing Journeys of Violent Speech in Incel Posts with GPT-4-Enhanced Annotations

Figure 1: Linear Regression between time and share of violent posts.

Figure 2: Linear Regression between time and category of directedness.

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Nir Grinberg @nirg.bsky.social · 05/12/2023

🚨New paper🚨 out in the International Journal of Press/Politics w/ Assaf Shamir and @jenny-oser.bsky.social 🎉 Here's what we learned from studying the composition of political content available to 600k+ registered U.S. voters on Twitter during the 2020 election. doi.org/10.1177/1940... 🧵👇

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