Manoel
@manoelribeiro
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Computational Social Science, Platforms, GenAI, Moderation
Joined January 2009
Maksym is a great researcher and a great person too! Go work with him.
🚨 Incredibly excited to share that I'm starting my research group focusing on AI safety and alignment at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems in September 2025! 🚨. Hiring. I'm looking for multiple PhD students: both those able to start
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In a new post, I speculate that AI will likely have the most significant impact on social media by allowing the creation of niche content that would otherwise be too costly to create. (Link below)
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Had a blast working on this paper led by Ale Cuevas, who is joining my group and @PrincetonCITP in September!.
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So what? . Audiences (and algorithms) treat subscribers as interchangeable commodities, and buying built-in trust has become a low-risk shortcut for scammers and influence operators. We argue this problem may increase as AI content creation thrives.
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We then used annotated repurposing using LLMs, correcting for bias using DSL (. Altogether, we estimate that ~0.25% (≈3,400 channels) were repurposed within three months, together holding 44 million subscribers under the radar (!)
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But we go beyond characterizing this individual marketplace of channels! To detect repurposing at scale, we drew a quasi-random sample of 1.4 M YouTube channels from Social Blade, scraped metadata in, and pulled historical snapshots via the Wayback Machine!
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Sites like Fameswap recorded over $1M in YouTube-channel sales in six months, with avg listings at $5.4K/100 K subs, and some fetching >$100 K. Once sold, 37% of these channels are repurposed to push crypto scams, political propaganda, gambling, or get-rich-quick schemes
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Creators pour years into building a following, but in a growing underground market, you can simply buy accounts and inherit their audience. In our new pre-print, we find this practice of repurposing accounts to be prevalent and consequential on YouTube!.
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RT @cbarrie: 📄NEW PAPER📄 Ever wondered content people actually pay *attention* to online? Our new research reveals that you likely pay att….
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🚨 Study alert! . We've developed a prototype that enables you to create personalized social media feeds using natural language rules and import them into Bluesky. Join our study to try out the tool, give feedback, and earn a $50 gift card!. Sign up:
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RT @hayounggjung: Thank you for the shoutout, Kiran! It means a lot to me 🥲 . This paper is exciting to us because it shows that a decade-o….
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RT @tomstello_: Is there a strong case for AI helping, rather than harming, the accuracy of people's beliefs about contentious topics? In t….
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RT @cervisiarius: Very exciting work out of my lab at @ICepfl, led by @SaiboGeng — zip2zip, a method for allowing LLMs to work directly in….
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RT @tpimentelms: Mechanistic interpretability often relies on *interventions* to study how DNNs work. Are these interventions enough to gua….
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RT @skairam: Can joining local online communities foster civic engagement and local democracy? . Our recent @SocialMedia_Soc paper (led by….
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RT @jonathanstray: I am once again being asked if X (or TikTok, or Facebook. ) amplifies content from one political orientation more than….
doomscrollingbabel.manoel.xyz
"There and back again"
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In a new blogpost, I argue GenAI as is won't "eat social media," because of:. - authenticity.- user preferences.- platforms being able to handle content at scale
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