Do Won Kim

@dowonkim.bsky.social

PhD student @iSchool UMD https://do-won.github.io

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

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...

arxiv.org

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...

How we built the infrastructure for a large-scale social media field experiment during the 2024 US election

What we built

markptorres.com

William J. Brady@williambrady.bsky.social · 2mo ago

✨New paper out @nature.com ✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we built ourselves. Do engagement-based algorithms amplify intergroup, moral & emotional (IME) content—and does that distort how we see political norms? 🧵🔗 👇

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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📄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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