Crowdsourcing datasets is very common, but how much of those results come from LLMs these days? How can we prevent it? Much of it is unclear. This is why we’re conducing a survey (~10 min) to gather community experiences, challenges, and solutions.
Share your thoughts 👉https://tinyurl.com/39ab55wf

If you are attending #ACL2025, come and check out our cool poster on Wednesday at 11 am!

(Oh yeah, I forgot to announce that the paper got accepted to the main proceedings of #ACL2025, oops)

I am happy to share that the paper got accepted to the main proceedings of ACL 2025 in Vienna! See you there!

arxiv.org/abs/2502.14132

Massive congrats to @nadavb.bsky.social for passing his PhD defence yesterday! 👏👏👏
Thanks to Anders Søgaard, @radamihalcea.bsky.social @ricosennrich.bsky.social for serving as examiners.
You can find his thesis here, which the committee characterised as "a joy to read": arxiv.org/abs/2503.07395

This, in turn, will limit the efficacy of community notes, particularly for high-stakes claims related to health and broader conspiracy narratives.

Work done with @gretawarren.bsky.social, @delliott.bsky.social, and @iaugenstein.bsky.social.

Fact-checkers conduct in-depth research beyond the reach of amateur users, while community notes publicise their work. The move to end partnerships and funding for fact-checking agencies will hinder their ability to pursue investigative journalism, which community note writers rely on.

This work examines how this recent development might impact the efforts to combat misinformation spread on social media by studying fact-checking’s role in Twitter’s community notes.

We find that community notes and professional fact-checking are deeply interconnected:

The current political climate has prompted Meta to shift away from partnerships with fact-checkers to increased reliance on crowdsourced community notes—the model used by Twitter.

🚨 Preprint alert 🚨

𝐂𝐚𝐧 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐍𝐨𝐭𝐞𝐬 𝐑𝐞𝐩𝐥𝐚𝐜𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐅𝐚𝐜𝐭-𝐂𝐡𝐞𝐜𝐤𝐞𝐫𝐬?

(arxiv.org/abs/2502.14132)

Fact-checking agencies have come under intense scrutiny in recent months regarding their role in combating misinformation on social media.

Hello, world! We're a Natural Language Understanding group at the University of Copenhagen (faculty: @iaugenstein.bsky.social, @apepa.bsky.social). Follow us for updates about our research, open positions, and more!
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