Killian McLoughlin

@killianmcloughlin.bsky.social

Psychology and social policy PhD candidate at Princeton. Curious about technology, morality, and misinformation. Data Scientist. Baker. www.killianmcloughlin.com

When people seek guidance from science, they expect it to work more than once. I have TWO new articles on commercial forces & proprietary models that make science less reliable, with pointers to communities and ideas that might help. This post offers a summary: citizensandtech.org/2026/07/comm...

New Studies: How Commercial Forces Make Science Less Reliable

Computational social science has been distorted by commercial forces, and AI is making it worse.

citizensandtech.org

✨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? 🧵🔗 👇

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1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses.

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Last year at SPSP we had some great discussions about research with LLMs. This time #spsp2026 we're back with a whole workshop! Friday 2/27 at 8am, + informal drinks at 6pm to continue the conversation More info, plus a chance to submit discussion topics, here: spsp2026.carrd.co

Ethical and Reproducible use of Large Language Models for Data Analysis | SPSP 2026 Professional

Ethical and Reproducible use of Large Language Models for Data Analysis | SPSP 2026 Professional

spsp2026.carrd.co

M.J. Crockett@mjcrockett.bsky.social · last yr.

Grateful for the chance to share my thoughts on responsible use of LLMs in psychology research @spspnews.bsky.social #spsp2025. Here's a summary of my presentation for those who missed it. Thanks to @ashwinia.bsky.social for organizing this panel! How should LLMs be used in psychology research? 🧵

Interested in why moral conflict is so common on social media? Join us at #SPSP 2026 for our symposium. We’ll present new findings on how platforms shape digital discourse and explore pathways toward healthier online environments 🗓 Saturday, the 28th | 9:30–10:40 AM 📍 Room E270, Level 2

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Are you a grad student who wants to give a talk at Princeton’s psychology department (in-person or on Zoom)? Nominate yourself or someone you know: forms.gle/WN2ybYMuZiW3... Priority given to non-Ivy and URM students. International applicants welcome. Deadline is this Friday (Feb 6)!

Emerging Scholars in Psychological Science Speaker Nominations

Nominate yourself or another late-stage PhD student to speak at Princeton's Department of Psychology this academic semester (Spring 2026). The Emerging Scholars in Psychological Science (ESPS) talk ...

forms.gle

New preprint! We developed new measurement tools to examine moralization in ~2B Twitter/X & Reddit posts and ~5M traditional media texts. Key finding: moralization increased markedly on social media from 2013-2021; more than traditional media; associated with multiple user dynamics 🧵👇

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How politicians communicate shapes online discourse in ways we might overlook. Our new paper shows that their choice between a fact-based (evidence-driven) and a belief-based (sincerity-driven) honesty creates a "contagion" effect, influencing how users engage and respond. ⬇️(1/8)

New paper out in @ScienceMagazine! In 8 studies (multiple platforms, methods, time periods) we find: misinformation evokes more outrage than trustworthy news, when it does it's shared more + ppl are less likely to read before sharing. w/ @killianmcl1 @Klonick @mollycrockett 🧵👇

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