Sol Messing

@solmg.bsky.social

Social Scientist/Research Prof at NYU CSMaP, formerly Twitter. http://solomonmg.github.io

New in Nature: LLMs give "the party line" in the languages of authoritarian regimes. This works when they control the media, which feeds pretraining data. We show more state control over the media means less critical LLMs. 6 studies spanning 38 languages & 13 models. Details ↓

Scatter plot of 38 countries plus China showing the proportion of LLM responses favorable to the regime in the local language vs. World Press Freedom Index score. Lower press freedom predicts more regime-favorable responses; all production models pooled.

New in Nature: LLMs give "the party line" in the languages of authoritarian regimes. This works when they control the media, which feeds pretraining data. We show more state control over the media means less critical LLMs. 6 studies spanning 38 languages & 13 models. Details ↓

Scatter plot of 38 countries plus China showing the proportion of LLM responses favorable to the regime in the local language vs. World Press Freedom Index score. Lower press freedom predicts more regime-favorable responses; all production models pooled.

You can just research things. New from @jatucker.bsky.social & me at @brookings: Coding agents like Claude Code and Codex will likely accelerate research AND undermine institutional structures we built to support it.

Google Trends chart showing interest in commercial coding agents increasing dramatically in early 2026

You can just research things. New from @jatucker.bsky.social & me at @brookings: Coding agents like Claude Code and Codex will likely accelerate research AND undermine institutional structures we built to support it.

Google Trends chart showing interest in commercial coding agents increasing dramatically in early 2026

CORRECTION, Claude Code launched in February 2025, suggesting a roughly 13% increase above expectations.

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Sol Messing@solmg.bsky.social · 5mo ago

[ #GenAI-post warning] Almost every researcher I know is using Claude Code, and talking about the huge productivity gains. Are we actually producing more scientific papers yet? Since its release in May 2025, arXiv submissions are indeed *12%* above what we'd expect. Details in thread:

[ #GenAI-post warning] Almost every researcher I know is using Claude Code, and talking about the huge productivity gains. Are we actually producing more scientific papers yet? Since its release in May 2025, arXiv submissions are indeed *12%* above what we'd expect. Details in thread:

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🌐 📲 With international collaborators, the Observatory’s director @andreucasas.bsky.social revisited recent “TikTok censorship” claims after the TikTok USDS takeover ➡️ Detailed information about the analysis available: goodauthority.org/news/was-the... 🧵[1/5]

Was there censorship on TikTok after the U.S. takeover?

A TikTok outage more likely explains recent anomalies – there’s no evidence of larger platform changes so far.

goodauthority.org

Last week the story was that TikTok censored anti-Trump/ICE/Pretti videos after the U.S. ownership change. We investigated with a large set of US TikTok data and found some interesting results, short thread...

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🧵 NEW PAPER - "Quantifying Narrative Similarity Across Languages" is live at SMR. We combine NLP w pairwise LLM evals to track ideas across media ecosystems and languages. We also figured out a way to eval unsupervised probs on widely understood supervised performance metrics.

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Important corrective paper and solid work from @cbarrie.bsky.social: don't mistake game simulations as evidence of intelligence if the game is in the training data.

Christopher Barrie@cbarrie.bsky.social · last yr.

🤖💡 Are LLMs really developing social behaviors—or just reproducing familiar patterns from training? In our new paper, @pettertornberg.com and I take a closer look at recent claims of emergent conventions in AI and offer a different perspective... 🧵

Join us as a research engineer @ CSMAP. 1. Collaborate on deploying and fine-tuning LLMs/LMs - build your AI chops 2. Big compute resources and data infra already in place 3. Access to largest social data collections on earth 4. Smart & teched up co-workers who know their isht

Joshua Tucker@jatucker.bsky.social · last yr.

💡 Ever wondered how social media and digital technology shapes our democracy? Join our team @CSMaP_NYU as a Research Engingeer and help us build the tools that power cutting-edge research on the digital public sphere. 🚀 Apply now! apply.interfolio.com/165833

🚨 NEW job posting for research engineer/TL @ CSMAP. 1. Collaborate on deploying and fine-tuning LLMs/LMs - build your AI chops 2. Big compute resources and data infra already in place 3. Access to largest social data collections on earth 4. Smart & teched up co-workers who know their isht

NYU's Center for Social Media, AI, and Politics@csmapnyu.org · last yr.

🚨 Job Alert! 🚨 Come join our team studying the impact of digital media on democracy! We're hiring a Technical Lead - Research Engineering to help us build and maintain the robust data infrastructure and custom tools that power our research. More info + apply: apply.interfolio.com/165833

🚨 Fantastic data + methods work in PNAS on “scripted propaganda,” government-authored phrases/talking points that appear in commercial newspapers. They show it’s been on the rise in recent decades & particularly during COVID — huge congrats on this incredibly heavy lift

Hannah Waight@hwaight.bsky.social · last yr.

How can researchers identify covert state propaganda campaigns in China? My co-authors Yin Yuan, Molly Roberts, Brandon Stewart @bstewart.bsky.social and myself are excited to share our new article in PNAS (@PNAS): doi.org/10.1073/pnas... Thread below.

Dodge-targeted agencies are the ones that create knowledge, suggesting this is about more than just political retribution

Patrick Wu@patrickwu.bsky.social · last yr.

@adambonica.bsky.social showed ideology predicts which agencies experience DOGE layoffs. But what other factors could be driving this? Using a generative LLM-derived measure, I find agencies perceived as knowledge institutions are more likely to experience layoffs, even controlling for ideology. 🧵

Scatterplot showing various U.S. government agencies plotted with the total staff (on a log scale) on y-axis versus likelihood of being perceived as a knowledge institution on the x-axis. Red dots indicate agencies that have experienced DOGE layoffs, while gray dots indicate agencies without layoffs. Agencies like NIH, NSF, CDC, and NOAA appear on the right side (more likely to be perceived as knowledge institutions), while agencies like ICE, DEA, and Secret Service appear on the left side (less likely to be perceived as knowledge institutions).

Regardless of whether TikTok will be sold to a non-Chinese owner, @zevesanderson.com, @solmg.bsky.social, and Scott Babwah Brennen argue that researchers need access to independent data to understand the platform’s democratic effects in the U.S. and abroad.

Mosaics of Insight: Auditing TikTok Through Independent Data Access

Even if TikTok is sold to a non-Chinese buyer, the threat of foreign influence will remain. That’s why researchers need independent data access.

lawfaremedia.org