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Reposted by Jin Woo Kim

British Journal of Political Science @bjpols.bsky.social · 16/06/2025

From April 2025 - Evidence Can Change Partisan Minds but Less So in Hostile Contexts - cup.org/3E7A4ja "in the absence of affective triggers, partisans were persuaded by both congenial and uncongenial information" - @jinwookim.bsky.social #OpenAccess

BJPolS abstract discussing a scholarly analysis on partisan-motivated reasoning and its impact on political persuasion and discourse.

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Brian Guay @brianguay.bsky.social · 07/04/2025

New paper on misperceptions out in PNAS @pnas.org www.pnas.org/doi/10.1073/... Why do people overestimate the size of politically relevant groups (immigrant, LGBTQ, Jewish) and quantities (% of budget spent on foreign aid, % of refugees that are criminals)?🧵👇

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Brendan Nyhan @brendannyhan.bsky.social · 07/04/2025

My former postdoc @jinwookim.bsky.social shows how information can change beliefs but partisan hostility can undo and even reverse those effects - a fantastic paper that helps bridge conflicting findings in the research on these questions.

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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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Jin Woo Kim @jinwookim.bsky.social · 07/04/2025

Partisans often seem unwavering in their support for a politician/policy, even when faced with opposing evidence. But recent studies show that partisans can be persuaded. So how can both be true? My new @bjpols.bsky.social ky.social paper explores this Q: doi.org/10.1017/S000...

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Andrew Little @anthlittle.bsky.social · 27/11/2024

After a review process so long and intensive that the title changed twice, I'm excited/relieved that "How to Distinguish Motivated Reasoning from Bayesian Updating" is accepted at @polbehavior.bsky.social. osf.io/preprints/os... Here is how it's relevant for your Thanksgiving dinner 🦃👇

osf.io

OSF

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Dominik Stecuła @stecula.bsky.social · 20/11/2024

Took a crack at the Political Communication starter pack. Sorry for all the great folks I undoubtedly missed go.bsky.app/J1U6jVe

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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 25/08/2024

Intergroup moral hypocrisy such that people were more forgiving of transgressions when they were committed by an in-group member than an out-group member We found evidence of moral hypocrisy among partisans and minimal groups (via @psychscience.bsky.social): journals.sagepub.com/doi/abs/10.1...

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Brendan Nyhan @brendannyhan.bsky.social · 08/07/2024

New study: How the relationship between education and antisemitism varies between countries journals.sagepub.com/doi/10.1177/... Key finding: Association b/w education & stereotype endorsement varies by whether countries supported statements against Holocaust denial & antisemitism 🧵 below

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Adam Berinsky @adamberinsky.bsky.social · 28/03/2024

Interested in measuring Attentiveness in Self-Administered Surveys? Check out our new review piece published today in Public Opinion Quarterly: doi.org/10.1093/poq/...

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Jon Green @jongreen.bsky.social · 20/03/2024

I am *extremely* happy to share that "The Rhetorical 'What Goes with What': Political Pundits and the Discursive Superstructure of Ideology in U.S. Politics" is conditionally accepted at Public Opinion Quarterly: osf.io/vwqnf

Title page (too much text to paste here)

A figure showing a) the strength of covariation in between different political concepts and b) the overall centrality of these concepts. Abstract organizing labels such as parties and ideologies, as well as race and immigration, are relatively central; discrete policy issues tend to be more peripheral.

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Brendan Nyhan @brendannyhan.bsky.social · 19/03/2024

New w/my amazing students: Inoculation discourages consumption of news from unreliable sources, but fails to neutralize misinfo sites.dartmouth.edu/nyhan/files/... Key findings: -Inoculation warning re: fake experts reduces misinfo exposure -But no measurable reduction in misinfo effect on beliefs

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Jin Woo Kim @jinwookim.bsky.social · 18/03/2024

A new paper with Ruijun Liu (my undergraduate student at the start of our study) is now published in Research & Politics: journals.sagepub.com/doi/10.1177/...

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Brendan Nyhan @brendannyhan.bsky.social · 13/03/2024

Persuading climate skeptics with facts: Effects of causal evidence vs. consensus messaging journals.sagepub.com/doi/10.1177/... "both treatments had noticeable effects on belief in human-caused climate change... though we did not observe equivalent patterns for changes in attitudes"

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