Kaiping Chen

@kaipingchen.bsky.social

Associate Professor of Science and Technology Communication, Computational Social Science at University of Wisconsin-Madison | Stanford/ Columbia / Fudan University alumni | Pianist www.kaipingchen.com

Check our article in New Media & Society journals.sagepub.com/doi/10.1177/... In “Refusal as Silence,” we ask whether AI refusals are applied equally across users. Refusal can protect users, but it can also operate as a form of silence. Sha Luo @zeningduan.bsky.social @sangjung-kim.bsky.social

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📣 I’m delighted to share that I will be serving as a Board of Reviewing Editor for @pnasnexus.org for the next three years, starting tomorrow. I’m especially looking forward to working with scholarship in communication and computational social science!

Thrilled to announce my paper with @dianamejordan.bsky.social & sky-less Trent Ollerenshaw is now published open-access at @apsrjournal.bsky.social. In a (very) large replication & extension, we show that design effects of repeated measure experiments are nonzero but typically small. Thread:

Abstract for "New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research" by Diana Jordan, Trent Ollerenshaw, and Andrew Trexler, published in the American Political Science Review. The abstract text reads: "We re-examine recent influential claims that repeated measure experimental designs offer large precision gains without biasing treatment effect estimates in survey research. We test these claims by experimentally varying the design of six classic political science experiments across three distinct large samples of U.S. adults (total N = 13,163). In contrast to prior evidence, we observe consistent attenuation of treatment effects in repeated measure designs. However, we show in simulations that this average design effect is small enough, and the precision gains large enough, that we recommend repeated measure designs for broad application—though (large-N) post-only designs may be preferable when research priorities include estimating the precise magnitude of a treatment effect. We additionally explore how several design considerations affect the bias-precision trade-off, such as within-subject versus between-groups designs, the relative separation of repeated measures within single surveys, and differences in respondent characteristics across sample types."
Cambridge University Press Political Science & IR@cambup-polsci.cambridge.org · 3mo ago

#OpenAccess from @apsrjournal.bsky.social - New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research - https://cup.org/4sVtFLj - @dianamejordan.bsky.social, TRENT OLLERENSHAW & @atrexler.com #FirstView

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🌟 Exciting career update: I am honored to be selected for The National Academies of Sciences, Engineering, and Medicine's New Voices cohort (2026–2028). Look forward to collaborating with an outstanding group of emerging STEM leaders to tackle national and global challenges together!

The National Academies of Sciences, Engineering and Medicine@nationalacademies.org · 6mo ago

Twenty outstanding mid-career STEM professionals have joined our 2026-28 New Voices cohort. These emerging leaders will engage with the National Academies' work and continue building a robust network to address national and global challenges. Learn more: https://ow.ly/LYoG50Yasb7

🚨We were very excited to present our work on "Seeing Risk Before It Happens: How Vision Language Models Understand Real World Dangers" to American Family Insurance yesterday! We look forward to releasing our VLM benchmark soon!

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Our #AEJMC25 panel “Visualize Science Communication for Impactful Journalism” is happening now at Pacific C [4FL]! We have panelists from academia, foundation and journalism joining us to share perspective on visual credibility in the age of Generative AI. @aejmc.bsky.social

AEJMC ComSHER@comsher.bsky.social · 12mo ago

📢 Don't miss our upcoming PFR Panel Session: "Visualize Science Communication for Impactful Journalism" 📢 Time: 11:30 am to 12:45 pm Location: Pacific C #AEJMC25

Want to learn about computational social science *for free* and launch interdisciplinary research projects? We are so excited to announce there will be *26* Summer Institutes in Computational Social Science this year! Apply to one of them here: sicss.io/locations

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Maybe a hot take, but what about the following advice to the next gen: Don't get an AI degree; the curriculum will be outdated before you graduate. Instead, study math, stats, or physics as your foundation, and stay current with AI through code-focused books, blogs, and papers.

Submit your abstracts until January 15 🔆 Would be great to see you at #COMPTEXT2025 in Vienna 🤩

Computational Communication Science Lab (CCL)@compcommlab.bsky.social · 2y ago

🎉 Happy New Year! Start 2025 strong—submit your work to #COMPTEXT2025, international conference on quantitative and computational analysis of text, image, and video as data 🚀 We can’t wait to welcome you to Vienna! ⏳Submission deadline: January 15 More here: shorturl.at/AmocX #css #commsky #polisky

✨Feel honored to receive the Vilas Early-Career Award. Very grateful to my students, colleagues and communities that inspire my work all the time! Excited for the next journey! 🥰

UW-Madison LSC@uw-lsc.bsky.social · 2y ago

Congratulations to LSC Assistant Professor @kaipingchen.bsky.social and Professor Mike Xenos for receiving Vilas Faculty Investigator Awards for teaching and research excellence! 🎉 #OnWisconsin #scicomm Learn more at: lsc.wisc.edu/2024/12/12/l...