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Megan Brown

@m-dot-brown.bsky.social
277 followers 95 following 23 posts

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

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Megan Brown @m-dot-brown.bsky.social · 10/06/2026
1/ Our new paper in Political Communication asks: does YouTube's algorithm push users into echo chambers, rabbit holes, or radicalization pathways? 🧵
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Ulrike Klinger @ulrikeklinger.bsky.social · 04/06/2026
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
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Jakob Ohme @dscheykopp.bsky.social · 04/06/2026
🚨 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
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Ross Dahlke @rossdahlke.bsky.social · 30/03/2026
New from me, @yunkangyang.bsky.social @jolukito.bsky.social @jasong.bsky.social @m-dot-brown.bsky.social @beccalew.bsky.social: analyzing sales data released from InfoWar's court case, we find that certain styles (linguistic and auditory) used by Alex Jones on his radio show predict next-day sales
Screenshot of the title page of a journal article in Information, Communication & Society by Ross Dahlke and coauthors. The article is titled “Style and substance on The Alex Jones Show predict InfoWars sales: a multi-modal analysis of a media empire.” The abstract explains that the study combines daily InfoWars sales data from 2016 to 2018 with linguistic, auditory, and topical features from Alex Jones’s radio show and online articles, finding that some styles and topics predict next-day sales.
Image description
Line chart showing daily InfoWars sales in dollars from January 2016 through December 2018. Sales are highly volatile, with frequent spikes, but generally rise from relatively low levels in early 2016 to a higher and more sustained range through 2017 and 2018, often around $100,000 to $300,000 per day, with occasional peaks approaching $1 million.
Image description
Multi-panel figure showing daily trends in selected themes and styles in Alex Jones radio shows and InfoWars news articles from 2016 to 2018. The left column tracks radio show content including Power, Bio, Achieve, Focus Future, and Money; the right column tracks article content including Power, Achieve, Money, Anger, and Focus Future. Gray daily values are overlaid with smoothed trend lines, showing that some themes shift gradually over time while others remain fairly stable.
Image description
Multi-panel figure showing daily trends in major topics in Alex Jones radio shows and InfoWars news articles from 2016 to 2018. Radio show panels include Nationalism, Politicians, Show Slogans, Promotions, and Fake News; article panels include Trump, Scientific Discoveries and Controversies, Media and Politics, Attacking Democrats, and Global Conflicts. Smoothed trend lines show modest but noticeable changes over time, including persistent attention to Trump and politics in articles and nationalism and political messaging in radio content.
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Michael Zimmer @michaelzimmer.bsky.social · 20/11/2025
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...
doi.org
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Megan Brown @m-dot-brown.bsky.social · 20/11/2025
Thrilled to have a new article published in @bigdatasoc.bsky.social! 🥳🎉📊 With scraping becoming a more common data collection strategy for internet researchers, we cover the legal, ethical, institutional, and scientific ramifications researchers should consider. doi.org/10.1177/2053...
doi.org
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Megan Brown @m-dot-brown.bsky.social · 29/07/2025
they do be posting
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Jo(sephine) Lukito @jolukito.bsky.social · 28/07/2025
🚨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....
journals.sagepub.com
Candidates Be Posting: Multi-Platform Strategies and Partisan Preferences in the 2022 U.S. Midterm Elections - Josephine Lukito, Maggie Macdonald, Bin Chen, Megan A. Brown, Stephen Prochaska, Yunkang ...
In this multi-platform, comparative study, we analyze social media messages from political candidates (N = 1,517) running for Congress during the 2022 U.S. Midt...
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Megan Brown @m-dot-brown.bsky.social · 11/07/2025
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. 🧵
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Hannah Waight @hwaight.bsky.social · 18/06/2025
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/...
journals.sagepub.com
Quantifying Narrative Similarity Across Languages - Hannah Waight, Solomon Messing, Anton Shirikov, Margaret E. Roberts, Jonathan Nagler, Jason Greenfield, Megan A. Brown, Kevin Aslett, Joshua A. Tuck...
How can one understand the spread of ideas across text data? This is a key measurement problem in sociological inquiry, from the study of how interest groups sh...
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Kevin Yang @yang3kc.bsky.social · 19/05/2025
[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
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Jo(sephine) Lukito @jolukito.bsky.social · 19/05/2025
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
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Maggie Macdonald, PhD @mgmacdonald.bsky.social · 17/03/2025
Special thanks to Mango Brown and Taylor Swift's 'Mr. Perfectly Fine' for their help in getting this paper over the finish line
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Maggie Macdonald, PhD @mgmacdonald.bsky.social · 17/03/2025
So excited to finally see this out! It was the first paper I started during my postdoc at @csmapnyu.org
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NYU's Center for Social Media, AI, and Politics @csmapnyu.org · 17/03/2025
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...
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Patrick Wu @patrickwu.bsky.social · 05/03/2025
@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).
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Jo(sephine) Lukito @jolukito.bsky.social · 13/01/2025
🚨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...
Cover for Making academia suck less: Supporting early career researchers studying harmful content online through a
feminist ethics of care
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Rebekah Tromble @rebekahtromble.bsky.social · 07/11/2024
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
researchersupport.org
Researcher Support Consortium
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Megan Brown @m-dot-brown.bsky.social · 01/11/2024
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
arxiv.org
Web Scraping for Research: Legal, Ethical, Institutional, and Scientific Considerations
Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative AI relying on massive text corpora becomes...
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Rebekah Tromble @rebekahtromble.bsky.social · 14/03/2024
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-...)
independenttechresearch.org
Introducing the DSA Data Access Audit - Coalition for Independent Technology Research
In a year of more than 70 global elections, the need for independent researchers to have access to social media data has never been greater. That’s why the Coalition for Independent Technology Researc...
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NYU's Center for Social Media, AI, and Politics @csmapnyu.org · 15/02/2024
🚨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/
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Megan Brown @m-dot-brown.bsky.social · 06/11/2023
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...
reuters.com
Elon Musk's X restructuring curtails disinformation research, spurs legal fears | Reuters
Social media researchers have canceled, suspended or changed more than 100 studies about X, formerly Twitter, as a result of actions taken by Elon Musk that limit access to the social media platform, ...
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