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Do Won Kim

@dowonkim.bsky.social
35 followers 90 following 20 posts

PhD student @iSchool UMD do-won.github.io

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Reposted by Do Won Kim
Jamie Cummins @jamiecummins.bsky.social · 14/07/2026
Today we launch the first stable release of RegCheck: v1.0.0. RegCheck makes it easier and quicker to compare study registrations to published papers for consistency - something we know is important in principle, but rarely done in practice. A 🧵 on what's new: regcheck.app
regcheck.app
RegCheck
RegCheck is an AI tool to compare preregistrations with papers instantly.
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Do Won Kim @dowonkim.bsky.social · 16/06/2026
1/ Excited to share our new paper: Challenging Partisan Expectations Reduces Political Polarization We find that political conversations reduce polarization most when they challenge what people expect about partisan boundaries. 🧵 Paper: arxiv.org/abs/2606.15901 #polisky
arxiv.org
Challenging Partisan Expectations Reduces Political Polarization
Political conversations are often proposed as a remedy for political polarization, yet their effectiveness remains inconsistent. We argue that this inconsistency partly reflects a neglected feature of...
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Reposted by Do Won Kim
William J. Brady @williambrady.bsky.social · 27/05/2026
As I mentioned in the below thread, this project involved many feats of engineering, led by the fantastic @markptorres.bsky.social. If you're a CS or CSS person interested in the gory details, see his blog post: markptorres.com/research/202...
markptorres.com
How we built the infrastructure for a large-scale social media field experiment during the 2024 US election
What we built
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Reposted by Do Won Kim
Sarah Shugars @shugars.bsky.social · 13/08/2025
Very cool pilot study from @dowonkim.bsky.social using chatbots to examine how people respond to out-group agreement and in-group disagreement. Looking forward to seeing this project develop into the full study! #pacss2025 #polnet2025
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Gordon Pennycook @gordpennycook.bsky.social · 15/05/2025
Recent research shows that AI can durably reduce belief in conspiracies. But does this work b/c the AI is good at producing evidence, or b/c ppl really trust AI? In a new working paper, we show that the effect persists even if the person thinks they're talking to a human: osf.io/preprints/ps... 🧵
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Misha Teplitskiy | Science of science | on LinkedIn mostly @innovation.bsky.social · 15/05/2025
Conventional wisdom says interdisciplinary research is valuable but harder to get through peer review (need to please diverse reviewers, etc). @sdxiang.bsky.social Daniel and I partnered with @ioppublishing.bsky.social to test this wisdom and add nuance
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John Holbein @johnholbein1.bsky.social · 21/04/2025
What happens to people when researchers encourage them to deactivate Facebook or Instagram for a few weeks in the lead up to an election? People get modestly* happier/less depressed/less anxious. "The Facebook effect is driven by people >35, while the Instagram effect is driven by women <25."
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Reposted by Do Won Kim
Andrew Trexler @atrexler.com · 03/04/2025
New paper with @dianamejordan.bsky.social and sky-less Trent Ollerenshaw! We provide large-N tests of repeated measure designs in survey experiments, showing that they slightly attenuate ATEs relative to post-only designs, but provide large gains to precision. Thread below. Preprint: osf.io/q6czp
Figure 4 providing a graphical summary of the main results of the study: a slight attenuation of average treatment effects from a repeated measure design, and large reduction in the ATEs' standard errors (improved precision).
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Reposted by Do Won Kim
Christopher Barrie @cbarrie.bsky.social · 25/03/2025
📄NEW PAPER📄 Ever wondered content people actually pay *attention* to online? Our new research reveals that you likely pay attention to far more varied political content than your likes and shares suggest
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Alberto Acerbi @acerbialberto.com · 19/12/2024
Interesting results, I wonder if stated preferences match behaviours, e.g., how many people are using bsky custom feeds?
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