Manuel Tonneau

@manueltonneau.bsky.social

PhD candidate @oiioxford.bsky.social NLP, Computational Social Science @WorldBank manueltonneau.com

Our work got featured in Science News! What a great end to an amazing #ICML2026🇰🇷 Peer review is at a crossroads. How we handle the submission and review crisis over the next years will shape the future of scientific publishing. True impact will come from people writing fewer, more meaningful papers!

Science News@sciencenews.bsky.social · 4w ago

AI tools might inadvertently perpetuate the biases they’re known to carry and reduce the variety of opinions weighing in on new science. https://www.sciencenews.org/article/ai-tools-science-peer-review-problems

New paper w/ UK AISI: Millions of people now use AI to help them write and communicate. In three experiments (14k participants, 3m+ human ratings) we show that AI writing assistance systematically distorts writer personas – their perceived beliefs, personality, and identity. 🧵

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I'm hiring a postdoc! @goetheuni.bsky.social Focus: CSS, political behavior, political communication & transforming information environments. 📍 Frankfurt | ⏳ 3 years | 📅 Deadline: 14 April 2026 Full job ad here: www.uni-frankfurt.de/48794987/Zen... (search for “political behavior” to find it)

Goethe-Universität — Zentrale Einrichtungen

Die Goethe-Universität ist eine forschungsstarke Hochschule in der europäischen Finanzmetropole Frankfurt. Lebendig, urban und weltoffen besitzt sie als Stiftungsuniversität ein einzigartiges Maß an E...

uni-frankfurt.de

🚨New WP "@Grok is this true?" We analyze 1.6M factcheck requests on X (grok & Perplexity) 📌Usage is polarized, Grok users more likely to be Reps 📌BUT Rep posts rated as false more often—even by Grok 📌Bot agreement with factchecks is OK but not great; APIs match fact-checkers osf.io/preprints/ps...

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Demographic cues (eg, names, dialect) are widely used to study how LLM behavior may change depending on user demographics. Such cues are often assumed interchangeable. 🚨 We show they are not: different cues yield different model behavior for the same group and different conclusions on LLM bias. 🧵👇

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A transformer encoder-based classifier called JoblessBERT can identify posts about unemployment on social media, allowing researchers to predict US unemployment claims, up to two weeks in advance, at the national, state, and city levels. In PNAS Nexus: https://ow.ly/Zvi850XRa8I

Illustration of the official unemployment rate published in newspapers. Stock photo.

📣 New Preprint! Have you ever wondered what the political content in LLM's training data is? What are the political opinions expressed? What is the proportion of left- vs right-leaning documents in the pre- and post-training data? Do they correlate with the political biases reflected in models?

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1/ 🚨 Big news 🚨 today we’re launching Tech for Open Minds (TOM) at @DukeU— a global program exploring how technology shapes open-mindedness, humility & polarization 🌍🧠 🔗https://sicss.io/stories/2025-08-18

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Social media platforms operate globally, but do they allocate human moderation equitably across languages? Our new WP shows the answer is no: -Millions of users post in languages with zero moderators -Where mods exist, mod count relative to content volume varies widely across langs osf.io/amfws

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🏆 Thrilled to share that our HateDay paper has received an Outstanding Paper Award at #ACL2025 Big thanks to my wonderful co-authors: @deeliu97.bsky.social, Niyati, @computermacgyver.bsky.social, Sam, Victor, and @paul-rottger.bsky.social! Thread 👇and data avail at huggingface.co/datasets/man...

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Manuel Tonneau@manueltonneau.bsky.social · 2y ago

Can we detect #hatespeech at scale on social media? To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter. The answer: not really! Detection perf is low and overestimated by traditional eval methods arxiv.org/abs/2411.15462 🧵