Scott A. Hale's Avatar

Scott A. Hale

@computermacgyver.bsky.social

Associate Professor @oiioxford.bsky.social, Director of Research @meedan, Fellow @turinginst.・widening access to quality info・multilingualism・mobilization・NLP・agenda setting

359 Followers  |  27 Following  |  4 Posts  |  Joined: 07.09.2024  |  1.6496

Latest posts by computermacgyver.bsky.social on Bluesky

Congratulations, @manueltonneau.bsky.social

31.07.2025 08:16 — 👍 1    🔁 0    💬 0    📌 0

🏆 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 — 👍 27    🔁 7    💬 2    📌 1
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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 — 👍 6    🔁 1    💬 0    📌 0

If you missed this presentation, check out the paper here:
aclanthology.org/2025.acl-lon...

28.07.2025 12:33 — 👍 6    🔁 1    💬 0    📌 0

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 — 👍 3    🔁 0    💬 0    📌 0

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 — 👍 1708    🔁 780    💬 23    📌 26
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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 — 👍 39    🔁 20    💬 1    📌 3
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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 — 👍 31    🔁 10    💬 1    📌 7

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