Megan Brown

@m-dot-brown.bsky.social

PhD Student University of Michigan School of Information & Michigan Institute for Computational Discovery and Engineering | formerly engineering @csmapnyu.org | NYU ‘19

🚨 Did you know that researchers can now apply for access to platform data under the EU’s Digital Services Act? Join our #ICA26 Bluesky Workshop on Saturday (9:00–10:15) to learn how DSA data access works in practice, what infrastructures are available, and how to get started. #DSA40

Ulrike Klinger@ulrikeklinger.bsky.social · 2mo ago

Wanna learn how the new #DSA EU data access to platform works for you, even outside Europe? Join our #ICA26 Bluesky workshop on Sat June 6 at 9:00 am in CTICC1, Lev 1, 1.52 with @claesdevreese.bsky.social @dscheykopp.bsky.social @jolukito.bsky.social @kwelle.bsky.social Daniel Angus, Megan Brown

Really exicted to finally see our paper in print: “Web scraping for research: Legal, ethical, institutional, and scientific considerations” A great interdisciplinary effort with @m-dot-brown.bsky.social, @orangechair.org, Gabe Maldoff, @solmg.bsky.social, @zevesanderson.com doi.org/10.1177/2053...

Sage Journals: Discover world-class research

Subscription and open access journals from Sage, the world's leading independent academic publisher.

doi.org

Can large language models (LLMs) fairly annotate data on contentious topics? Our new paper dives into this question—looking at whether LLM-generated labels reflect diverse viewpoints or skew toward majority perspectives. The results are surprisingly nuanced. 🧵

[New WP] With the closure of major social media APIs and the new data access mandates under DSA, we enter what we call the "post-post-API" era. But have researchers obtained the data they need? Our recent survey (180) + interview (19) study suggests a stark reality. 🔗 arxiv.org/abs/2505.09877 1/3

BildBild

So excited to finally see this out! It was the first paper I started during my postdoc at @csmapnyu.org

NYU's Center for Social Media, AI, and Politics@csmapnyu.org · last yr.

It's well known that politicians take more extreme positions during primaries. In @electoralstudies.bsky.social, we find this shift is much more likely when incumbents in safe seats face a well-funded primary challenger. 🧵👇 authors.elsevier.com/a/1kn5KxRaZn...

@adambonica.bsky.social showed ideology predicts which agencies experience DOGE layoffs. But what other factors could be driving this? Using a generative LLM-derived measure, I find agencies perceived as knowledge institutions are more likely to experience layoffs, even controlling for ideology. 🧵

Scatterplot showing various U.S. government agencies plotted with the total staff (on a log scale) on y-axis versus likelihood of being perceived as a knowledge institution on the x-axis. Red dots indicate agencies that have experienced DOGE layoffs, while gray dots indicate agencies without layoffs. Agencies like NIH, NSF, CDC, and NOAA appear on the right side (more likely to be perceived as knowledge institutions), while agencies like ICE, DEA, and Secret Service appear on the left side (less likely to be perceived as knowledge institutions).

They don’t need an excuse. They’ll claim we gave them an excuse no matter what we do. “Be careful what you say” is precisely how authoritarians achieve compliance w/o lifting a finger. And yet, even w/ compliance, they will still attack. Instead, may I suggest taking a look at researchersupport.org

Researcher Support Consortium

researchersupport.org

E.J. Fagan@ejfagan.com · 2y ago

I strongly urge my colleagues to be careful with your public statements for the next four years. Our academic institutions will be under attack. They want you to give them an excuse. Don’t make it easy on them.