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Michelle Schimmel

@michelleschimmel.bsky.social
135 followers 241 following 3 posts

PhD candidate at the University of Amsterdam. Information environments, political identity & divides, computational social science

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Reposted by Michelle Schimmel
Petter Törnberg @pettertornberg.com · 07/07/2026
‘Polarization’ has become the master concept for diagnosing our current democratic crisis. But this is not polarization. It is the radicalization of the political right. By misdiagnosing it, we risk becoming complicit in the crisis. 🧵 Just out in Perspectives on Politics doi.org/10.1017/S153...
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Reposted by Michelle Schimmel
Eelco Harteveld @eelcoharteveld.bsky.social · 02/07/2026
Now out: our study on what citizens imagine their political opponents to be like in Brazil, the UK, Germany & Poland 💭 We use open-ended survey answers to show how political stereotypes often blur issues, groups, traits, voters and elites. Paper: doi.org/10.1177/0032... See thread for a summary 👇
doi.org
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Reposted by Michelle Schimmel
Dannagal Goldthwaite Young @dannagal.bsky.social · 25/06/2026
Thrilled to report our study of Rogan’s audience is published! 2 datasets. 2 different years w range of socio-demog, political, trust-oriented, & epistemic predictors. (Also: Working w @stecula.bsky.social @prowag.bsky.social & @dvshah.bsky.social was stupid fun) www.tandfonline.com/doi/full/10....
tandfonline.com
The Joe Rogan Experience: Epistemic Style Over Ideological Extremity in the Manosphere
Despite increasing prominence in the contemporary media ecosystem, podcasts have attracted limited scholarly attention. This study examines audience characteristics of the most popular podcast in t...
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Reposted by Michelle Schimmel
Christopher Barrie @cbarrie.bsky.social · 10/06/2026
Very pleased to have been on the leadership team for this paper! LLMs are already being used all over behavioural science. But it is often pretty hard to work out exactly what has been done, and therefore how much confidence to place in the results. www.nature.com/articles/s41...
nature.com
A reporting checklist for large language models in behavioural science - Nature Human Behaviour
Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve tra...
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Reposted by Michelle Schimmel
Christopher Barrie @cbarrie.bsky.social · 02/06/2026
📄 New paper: people choose AI models partly on political grounds This is joint work with @pettertornberg.com @chrisbail.bsky.social @michelleschimmel.bsky.social and led by @michaelheseltine.bsky.social
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Charlie Warzel @cwarzel.bsky.social · 15/05/2026
Hi. Not really sure how to promote this story...but it is about AI and the overwhelming feeling of it bleeding into everything with no concrete articulation for what a good version of that future looks like. It's about feeling like every 8th person is living on another planet. Hope you'll read it
theatlantic.com
Too Much Is Happening Too Fast
The AI boom is meant to overwhelm you.
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Reposted by Michelle Schimmel
Linus Westheuser @lwestheuser.bsky.social · 16/04/2026
Knife crime! Pronouns! Meat bans! Some political issues lead to "hotter", more emotional and polarizing debates than others. We show how these "trigger points" reveal a contested structure of moral expectations and how they get weaponized by polarization entrepreneurs. OA @bjsociology.bsky.social 🧵
onlinelibrary.wiley.com
Why do Public Debates Escalate? Trigger Points and the Moral Dynamics of “Hot Politics”
Escalating, emotionally charged, and moralized forms of controversy are a central feature of contemporary politics. Our study develops a framework for understanding how political debates between ordi...
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Reposted by Michelle Schimmel
Sol Messing @solmg.bsky.social · 13/05/2026
New in Nature: LLMs give "the party line" in the languages of authoritarian regimes. This works when they control the media, which feeds pretraining data. We show more state control over the media means less critical LLMs. 6 studies spanning 38 languages & 13 models. Details ↓
Scatter plot of 38 countries plus China showing the proportion of LLM responses favorable to the regime in the local language vs. World Press Freedom Index score. Lower press freedom predicts more regime-favorable responses; all production models pooled.
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Reposted by Michelle Schimmel
Petter Törnberg @pettertornberg.com · 01/05/2026
LLMs have been widely reported as left-wing biased. The finding has shaped policy and debate — with Trump banning "Woke AI". Our new paper challenges this story. It's not that the models are biased. It's that they think the auditor is. 🧵 w/ michelleschimmel.bsky.social‬arxiv.org/pdf/2604.27633
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The COMPTEXT Association @comptext.bsky.social · 25/04/2026
That's a wrap on #COMPTEXT2026! Huge thanks to lead organiser @chrisguarnold.bsky.social and IDAI/@unibirmingham.bsky.social team, plus all tutors, chairs, discussants & sponsors. Conference dinner at a world-renowned cricket stadium—what a treat. Safe travels home; see you at COMPTEXT 2027!
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Reposted by Michelle Schimmel
Petter Törnberg @pettertornberg.com · 08/04/2026
Like Grok and Attie, more and more social media platforms now integrate AI directly in online conversations. But how do these AI bots actually impact political discourse? We ran a series of experiments to find out. (Spoiler: the news are not altogether great.) osf.io/preprints/so...
osf.io
OSF
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Michelle Schimmel @michelleschimmel.bsky.social · 15/06/2025
Grateful and happy my Master‘s thesis work – with fantastic supervision from @fhopp.bsky.social – received a Top Student Paper award from @icacm.bsky.social at ICA! :))
brilliantfhopp.bsky.social
Bluesky
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