Professor, @AarhusUni | Political scientist | @DFF_raad Research leader | Political behavior, distrust, polarization, social media

Aarhus, Denmark
Joined July 2015
🚨New article🚨 out in @AJPS_Editor w @Carsten80554073. We analyze downstream consequences of rising incivility between politicians and find adverse effects on citizens' political trust, satisfaction w democracy, and intentions to comply w policies onlinelibrary.wiley.com/doi/…
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I have changed my mind on how AI will impact jobs in America. Previously, I believed AI would replace many entry level roles typically filled by young employees. The technology would then work its way up the organization and eventually reduce the total number of jobs in a company. The data is saying something different, so when I get new information I am willing to change my mind. The number of software engineers being hired has been increasing. The number of open software engineer roles is growing. The number of new college grads who get hired has increased 5.6% over the last 12 months. The unemployment level for people aged 20-24 years old who have a college degree has fallen from nearly 9% to almost 5% as well. The Wall Street Journal recently wrote “AI created 640,000 jobs between 2023 and 2025 in the U.S., according to an analysis by LinkedIn of job posting data, including new white-collar positions such as Head of AI and AI engineer.” And I am starting to see companies throughout our portfolio aggressively hiring to keep up with the demand for their products and services. If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind. AI appears to be a magical technology that will make companies more productive and more profitable. The net result will be more corporations, more startups, and more jobs. All three are big, positive wins for the American economy.
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New research that considered interviewer effects in our survey has been published by Sociological Methods & Research (@SageJournals). Researchers from @css_budapest and @Szazadveg 🇭🇺 assessed which #survey questions are more prone to interviewer effects. buff.ly/0KKTxza
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Can embarrassment of one's party dampen partisanship and polarization? One would think. In a forthcoming paper at @poqjournal, Taylor Carlson, Steven Webster, and I examine what we call "partisan embarrassment," including looking at the ramifications of these feelings...
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Very cool - my argument that citizens rely on evolved cheater detection abilities when evaluating political leaders replicates in China!
💡Can citizens in autocracies evaluate leaders without knowing their ideologies? ➡️Using Wason selection tasks in China, Y. Yang, M. Liang & B. Wang show that people rely on cheater detection, judging leaders by fairness rather than ideology cambridge.org/core/journals/… #FirstView
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🚨 If you didn’t know what party a candidate stands for, could you infer it? New WP with @StavrosPoupakis on voting behaviour and statistical discrimination in low-information settings. A Thread. #polisciresearch
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📝New publication 📝 Our academic, @ralucapahontu, and Stavros Poupakis used facial recognition software for a study which examined whether voters associate parliamentarians with a political party based solely on how they look 🤖🖥️ More 👇 kcl.ac.uk/news/do-first-impr…
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politicians tend to think that voters are identity rather than policy oriented, retrospective, egocentric, single-issue-focused, & leader over idea oriented (with comparisons to public theories): cambridge.org/core/journals/…
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There is now more and better social science content on BlueSky compared to X. Please join us on a non-political, more civil platform!
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There is now more and better social science content on BlueSky compared to X. Please join us on a non-political, more civil platform!
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The Twitter exodus has started, but maybe it should have started long ago? Our new study in @NatureComms shows that political abuse on X is a global, widespread, and cross-partisan phenomenon nature.com/articles/s41467-0…
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A 5- to 9-seat majority will be very hard for Mike Johnson to control. And it makes Dems the favorites to flip the House in 2026. The average midterm since WWII has resulted in the president's party losing 25 seats:
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Don't miss out on this guide on how to run surveys: on creating your own identifying variation: more than 80 pages and an Appendix with examples including social desirability, vignettes, information treatments and more.
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Is 😍LOVE😍 blind? No--but❤️can blind us! Being in love messes with automatic, early-stage attentional processes When we're in love---and reminded of it---we simply DON'T EVEN NOTICE 🌶️attractive🌶️ opposite-sex targets (Single people do notice them!) doi.org/10.1016/j.jesp.2008.…
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Will the US negativity to immigration reverse now? Quite likely! Folks forget immigration backlash works both ways. Pro-immigration politics may be unpopular, but so is unnecessarily cruel anti-immigration politics. "Reverse Backlash" is open-access now: doi.org/10.1093/poq/nfad052
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Our paper on "Electoral Turnovers" with @benjaminmarx and @vincent_rollet is now forthcoming at @RevEconStudies ! Full thread on what we do and find here: xitter.cf/VinPons/status/1501188…
Electoral turnovers improve countries' performance and foster accountability. Their effects are investigated in a new paper by @benjaminmarx, @VinPons, and @vincent_rollet, who built a database of all presidential and parliamentary elections since 1945. (1/2)
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