they do be posting

🚨New publication in Social Media + Society🚨 Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections And it's open access! journals.sagepub.com/doi/full/10....

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. 🧵

I am thrilled to share a new article in Sociological Methods & Research, “Quantifying Narrative Similarity Across Languages”. My co-first author Sol Messing and our collaborators developed a new approach to measuring “narrative similarity” between texts: journals.sagepub.com/doi/10.1177/...

[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

So thrilled to have worked on this important piece with @yang3kc.bsky.social @m-dot-brown.bsky.social and Kayo Mimizuka. Data access for independent researchers is at such a critical juncture

Special thanks to Mango Brown and Taylor Swift's 'Mr. Perfectly Fine' for their help in getting this paper over the finish line

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

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. 🧵

🚨New Publication in New Media & Society🚨 Co-First-Authored w/ @m-dot-brown.bsky.social @meredithpruden.bsky.social & @markriedl.bsky.social Making academia suck less: Supporting early career researchers studying harmful content online through a feminist ethics of care. jlukito.com/s/brown-et-a...

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

Excited to share a pre-print about web scraping for research! We're happy to receive feedback on how we frame this issue and try to build some paths forward for researchers. w/ @orangechair.org, Gabe Maldoff, @solmg.bsky.social, Zeve Sanderson, & @michaelzimmer.bsky.social arxiv.org/abs/2410.23432

I’ll keep working with academics, civil society researchers, and journalists—including via the Coalition for Independent Technology Research—to continue these important accountability efforts. 12/ (independenttechresearch.org/introducing-...)

🚨Our new paper in Political Analysis presents a novel, cross-platform method for estimating the ideology of YouTube videos.  What we found: it is possible to do this at scale with an efficient, automated method! 🧵1/

Great coverage of the ongoing challenge of researcher data access on Twitter! Thanks @sheiladang.bsky.social for the great piece! www.reuters.com/technology/e...