Curtis Puryear

Curtis Puryear

@curtispuryear.bsky.social

Assistant Professor at UNCW studying morality, politics, and intergroup conflict. puryearc@uncw.edu http://curtispuryear.com

438 followers580 following12 posts

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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 🧵👇

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

Curtis Puryear reposted

Do ethnic minority interest parties grow through programs, or people? Schaaf, Otjes & Spierings show that DENK’s support in the Netherlands stems mainly from personal & religious networks, while online ties matter less. #ComparativePolitics Read more: link.springer.com/article/10.1...

link.springer.comThe Role of Networks in Mobilization for Ethnic Minority Interest Parties - Political BehaviorRecently, parties that are run by and for ethnic minority citizens with a migration background have become more prominent. They can be considered a manifestation of ethnic political segregation. A key example of such a party is DENK in the Netherlands. So far, the explanatory literature has focused on how programmatic considerations drives voting for these parties. Other factors, such as the role of social networks in mobilization, have received limited testing and limited exploration in more detail. Furthermore, the literature on social networks is mainly based on majority populations. To inform our understanding of the role of social networks in voting (in general but also particularly among ethnic minority communities and for ethnic minority interest parties) this paper analyzes the voting behavior for DENK focusing on the role of personal, online and religious networks. The paper uses both qualitative interviews (with bicultural youth in the third largest city of the Netherlands in 2022) and quantitative surveys (the 2021 Dutch Ethnic Minority Electoral Study). Our analysis points to the importance of religious and personal networks for voting for DENK, whereas online networks appear to be less relevant.

Curtis Puryear reposted

Intervening on a central node in a network likely does little given that its connected neighbors will "flip it back" immediately. Happy to see this position supported now. "Change is most likely [..] if it spreads first among relatively poorly connected nodes." www.nature.com/articles/s41...

nature.comTransformation starts at the periphery of networks where pushback is less - Scientific ReportsScientific Reports - Transformation starts at the periphery of networks where pushback is less

Curtis Puryear reposted

New preprint 🚨 Cognitive bottlenecks make LLMs more morally aligned with people 🧠🤖 We made AI “think” more like people by narrowing its focus to a few key moral cues. This AI better predicted people’s moral judgments & was more trusted. 🧵 ⬇️

Curtis Puryear reposted

Really enjoyed my conversation with @chrislhayes.bsky.social about how protests can shape public opinion. He also generously invited me to share a bit of my personal story which helps put the research in context. — Apple: podcasts.apple.com/us/podcast/w... — Spotify: open.spotify.com/episode/2Byd...

podcasts.apple.comThe Resistance vs. Trump 2.0 with Omar WasowPodcast Episode · Why Is This Happening? The Chris Hayes Podcast · 07/22/2025 · 53m

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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Our results suggest social media can reshape public square, by pulling new topics into (and pushing some people out of) moral debate + turning up the heat on already moralized topics. Key Q: How can we design community norms and/or algorithms to curb moralization without chilling civic engagement?

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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Finding 3: Moralization rose in two ways: same users used 3 % more moral words each year BUT extreme voices also gained share. On Reddit we saw only the first (+0.3 %/yr); extremists didn’t take over. Hint that long comments, downvotes & lighter engagement ranking blunt selection effects.

Finding 4: Moralization both spread into new topics (hobbies, entertainment) AND intensified within already moralized topics (e.g., politics). But we only observed intensification on Twitter/X, which again, suggests platform design may matter when it comes to mitigating runaway mitigation.

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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Finding 2: Moralization increased relatively less in traditional media. Rate of moral words in Corpus of Contemporary American English increased, but occurred almost entirely in a single year (1.11% to 1.31% in 2016), and moral words actually decreased over time in the News on the Web corpus.

What user dynamics drive increases in moralization? Are the same people becoming more moral (e.g. social learning), or are the types of people engaged online changing, such that high moralizers dominate discourse (e.g., selection effects)? We find the answer is BOTH.

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 🧵👇

Social media lets people share their perspectives globally and instantaneously for the first time in history. But it can also incentivize people to boil complex issues into simplistic, moralized narratives. This might create a moralizing shift in discourse, which we identify and explain here.

Finding 1: Moralization increased significantly on social media. Rate of moral words increased on Twitter/X by 41% from 2013-2021 (1.28% of words in posts to 1.80%) and word embeddings showed topics shifted .296 SD toward morality. Moral words also increased on Reddit, to a lesser degree: by 6%

Curtis Puryear reposted

Thanks to everybody who chimed in! I arrived at the conclusion that (1) there's a lot of interesting stuff about interactions and (2) the figure I was looking for does not exist. So, I made it myself! Here's a simple illustration of how to control for confounding in interactions:>

Julia M. Rohrer@dingdingpeng.the100.ci

Does anybody have a good visualization to explain how interactions can be confounded, and why interactions require interaction controls? @urisohn.bsky.social maybe? (Asking because I have an idea, but want to check out what exists already before investing the effort)

Curtis Puryear reposted

Is America an oligarchy? Bernie and AOC say yes, touring the country to “Fight Oligarchy.” Other Democratic leaders aren’t so sure. With the debate heating up, I wanted to share a few insights from our recent paper on who’s funding American politics. 🧵 cup.org/4cfm0Az

Curtis Puryear reposted

Were wealthy donors key to Trump’s campaigns in 2016 and 2020? I'm thrilled to announce a new paper in which Sean Kates, Eric Manning, Tali Mendelberg and I analyzed data on 108 million (!) homeowner-voters. See “Plutopopulism: Wealth and Trump’s Financial Base.” Open access: cup.org/4cfm0Az 🧵 1/

Curtis Puryear reposted

If you want to see more of our data on longitudinal trends in moralization, I'm giving a symposium talk tomorrow morning at 8:00AM in Four Seasons Ballroom 1 #SPSP2025

William J. Brady@williambrady.bsky.social

@curtispuryear.bsky.social a study of a decade of twitter posts shows and new measure of moralization shows that moralization has substantially increased over time (d = .45!). Driven by both self selection and within-user increase over time! #comppsych #spsp2025 (also stay tuned for this paper😎)

Curtis Puryear reposted

Ok, thread time. Closed-ended survey responses are efficient and easy to analyze, but limit what respondents can say. Open-ended responses are useful for letting respondents answer with more depth in their own words (as opposed to yours).

Jon Green@jongreen.bsky.social

Online/open access in @polanalysis.bsky.social w/ @willrhobbs.bsky.social: a theory and method for inferring attitudes in open-ended survey responses www.cambridge.org/core/journal...

Curtis Puryear reposted

Curtis Puryear reposted

My year started with this article coming out, so it's nice to see that it now is the most read on @europeansocieties.bsky.social. It's about the common sense political reasoning of the majority of citizens who don't care too much about politics. More below. www.tandfonline.com/doi/full/10....

tandfonline.comCleavage politics in ordinary reasoning: How common sense dividesThis study explores how the ideological divide between the radical right and liberal left is anchored in the common sense reasoning of ordinary citizens. Across Western Europe, cleavage research ha...
Linus Westheuser@lwestheuser.bsky.social

Just out @europeansocieties.bsky.social: Koen Damhuis & I study how the divide bw far-right and liberal-left ideologies is anchored in moral and class-based forms of common sense reasoning. We also show what qualitative research can contribute to cleavage theory www.tandfonline.com/doi/full/10....

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