I'm humbled to have been selected as the next director of @oii.ox.ac.uk . I look forward to working with colleagues and friends to shape the next saga in our department's story
27.10.2025 16:25 —
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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
28.08.2025 08:44 —
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Congratulations, @manueltonneau.bsky.social
31.07.2025 08:16 —
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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...
31.07.2025 08:05 —
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Using #LLMs to improve claim matching and #misinformation response. Come see our poster at #ACL2025NLP now (#430) or read the paper.
aclanthology.org/2025.finding...
28.07.2025 15:14 —
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If you missed this presentation, check out the paper here:
aclanthology.org/2025.acl-lon...
28.07.2025 12:33 —
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Overview of OII #ACL2025 presentations at the link below. Please say hi if you're here
www.oii.ox.ac.uk/news-events/...
28.07.2025 12:31 —
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The worst happened. We were DOGE’d. Our NSF funding is gone.
So now there’s nothing stopping me from sharing Expert Voices Together, a crisis response system for US-based researchers and journalists facing harassment.
It's a true passion project. 🧵 1/
expertvoicestogether.org
13.05.2025 16:22 —
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📈Out today in @PNASNews!📈
In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages.
🧵:
07.03.2025 18:28 —
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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
🧵
26.11.2024 12:53 —
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