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Jason Greenfield

@jasong.bsky.social
110 followers 93 following 6 posts

CS PhD student @princetoncitp.bsky.social, former Research Engineer @csmapnyu.org. I like rock climbing and birds.

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Reposted by Jason Greenfield
NYU's Center for Social Media, AI, and Politics @csmapnyu.org · 03/09/2026
Working Paper link here! See you all Saturday. papers.ssrn.com/sol3/papers.... @melinamuch.bsky.social @jatucker.bsky.social @jonathannagler.bsky.social @jasong.bsky.social
papers.ssrn.com
Did Podcasts Help Trump Win Young Men? A Gendered Theory of the Podcast Ecosystem
In the 2024 election, the gender gap among young voters widened sharply. To examine the role of podcasts in this pattern, we combine two survey datasets with th
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Jason Greenfield @jasong.bsky.social · 26/06/2026
New work in ICWSM with @stephanietwang.bsky.social, Danaé Metaxa, et al.: "What's Political on TikTok?" Our users perceived an avg of 16.85% of their FYP as political according to their own definition of politics -- higher than you'd expect! Read the paper to find out why! doi.org/10.1609/icws...
Jason Greenfield presenting "What's Political on TikTok" at the 20th International AAAI Conference on Web and Social Media.
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Reposted by Jason Greenfield
Romina Mahinpei @rmahinpei.bsky.social · 03/06/2026
📝Excited to share our new preprint, “AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education”: arxiv.org/abs/2606.03095 A thread 🧵 1/8
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Reposted by Jason Greenfield
Hannah Waight @hwaight.bsky.social · 13/05/2026
I’m excited to share a new paper in Nature that shows how large language models launder the strategic rhetoric of authoritarian states. Paper here: www.nature.com/articles/s41.... A thread.
nature.com
State media control influences large language models - Nature
Government-controlled media influences the output of large language models via their training data, and models queried in the languages of countries with lower media freedom show a stronger ...
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Reposted by Jason Greenfield
Francesco Salvi @frasalvi.bsky.social · 07/04/2026
🛍️Major AI companies are increasingly embedding sponsored content into chatbot conversations. Across two preregistered experiments (N=2,012), we test how effectively AI can steer consumers toward sponsored products in a realistic shopping scenario. 📝https://arxiv.org/abs/2604.04263
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Reposted by Jason Greenfield
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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Reposted by Jason Greenfield
Melina Much @melinamuch.bsky.social · 09/02/2026
Should Harris have gone on Rogan? Check out my response here on American Friction. Thanks for having me @jacobjarvis.bsky.social @chrisjonesprod.bsky.social open.spotify.com/episode/16Uy...
open.spotify.com
Joe Rogan and the podcast bros – Why are they so confused?
Spotify video
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Reposted by Jason Greenfield
Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 05/01/2026
Do reasoning models have real “Aha!” moments—mid-chain realizations where they intrinsically self-correct? In a new pre-print, “The Illusion of Insight in Reasoning Models," led by @liv-daliberti.bsky.social we provide strong evidence that they do not! 📜: arxiv.org/abs/2601.00514
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Reposted by Jason Greenfield
Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 16/09/2025
Social media feeds today are optimized for engagement, often leading to misalignment between users' intentions and technology use. In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement. arxiv.org/abs/2509.10776
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Jason Greenfield @jasong.bsky.social · 03/08/2025
Does your work explore mis/disinformation, scams, hate speech, or other forms of harmful information online? We’re convening a CSCW workshop to convene a global community focused on information disorder. Submissions 2-6 page; due Aug 8. Hope to see you there! cscw2025infodisorder.netlify.app
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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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Jason Greenfield @jasong.bsky.social · 18/06/2025
Excited to share “Quantifying Narrative Similarity Across Languages” was just published! Amazing work by my wonderful coauthors — read more below!
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Johannes B. Gruber @jbgruber.bsky.social · 06/11/2023
This week, Natalia Umansky will present our paper (with Christian Pipal, @jasong.bsky.social and @aurman21.bsky.social) at @connectedpol.bsky.social: "Dances, Duets, and Debates: Analysing elite political communication on TikTok". Mailing list registration: eepurl.com/gGbBpr
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Reposted by Jason Greenfield
Aleksandra Urman @aurman21.bsky.social · 26/10/2023
Natalia Umansky presenting our (Christian Pipal, @jbgruber.bsky.social @jasong.bsky.social) work-in-progress on the ways European political parties use TikTok at the Digital Democracy Workshop in Zürich!
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Jason Greenfield @jasong.bsky.social · 07/05/2023
The distinction between fear-inducing and hate speech is so importantly highlighted by @juliaangwin.com www.nytimes.com/2023/05/06/opinion/…
nytimes.com
Opinion | Few Are Addressing One of Social Media’s Greatest Perils
Fear-inciting speech, which isn’t banned by the big tech platforms, is far more dangerous than hate speech.
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Jason Greenfield @jasong.bsky.social · 05/05/2023
Hello (bluesky) world. Thanks @solmg.bsky.social for the invite!
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