In a new blog post, I argue that the anti-ai movement ought to distinguish between claims about the technology and the "project of AI," as defined by Vetsi et al. in their new paper.
🔗: doomscrollingbabel.manoel.xyz/p/the-anti-ai-…
One of our key sources of human data is no longer fully “human"!
We estimate that 33-46% of crowd workers on MTurk used large language models (LLMs) in a text production task - which may increase as ChatGPT and the like become more popular and powerful.
arxiv.org/abs/2306.07899
I'm thrilled to announce that I'll join @PrincetonCS/@PrincetonCITP as an assistant professor in Spring 2025 — can't wait to join this amazing group of researchers.
I will continue to work on online platforms / the societal impact of AI. If you’d like to collaborate, reach out!
Is the YouTube algorithm radicalizing us?
Our new PNAS paper says: probably not!
But why should you trust this paper rather than other papers or reports saying otherwise?
Because we came up with a way to disentangle the causal effect of the algorithm.
pnas.org/doi/10.1073/pn…
I am recruiting 1-2 PhD students for Fall 2025 at Princeton to work on Comp Social Science/Societal Impact of GenAI/GenAI for SocSci
I wrote a bit about my research flavor & interests here: manoelhortaribeiro.github.io/advising
Deadline: December 15th (cs.princeton.edu/grad#prospecti…)
Please boost!
In our new pre-print, we find significant evidence of user radicalization on #YouTube. Tracking >79M comments across >300k videos, we show that those who comment on the so-called Intellectual Dark Web/Alt-lite consistently migrate to Alt-right channels. arxiv.org/abs/1908.08313
🚨LLMs outdebate humans when given access to opponents' personal Information!🚨
In a pre-reg study (N=820), participants who debated ChatGPT had 81.7% (p<0.01) higher odds of agreeing with their opponents after the debate (compared to a human baseline)
📜arxiv.org/abs/2403.14380
I’m hitting the job market looking mainly for tenure-track asst. professor positions (2024)! 🚨👨🔬
My core research informs how we should curate content on online platforms — and I’m also interested in how large language models will impact on the Web in the upcoming years.
I’m thrilled that our paper, with @cervisiarius and led by @russogiusep: “Stranger Danger! Cross-community interactions with fringe users increase the growth of fringe communities on Reddit” won the best paper award at @icwsm! 🎉🎉🎉
ojs.aaai.org/index.php/ICWS…
How can we ensure our data is generated by humans?
Our new preprint shows that
>30% of crowd workers used LLMs on a text summarization task on Prolific
>This is similar to previous figures on less vetted MTurk
>Mitigation strategies can reduce use >50%
📜arxiv.org/abs/2310.15683
Received ChatGPT-like reviews? They may have boosted your paper's odds of being accepted!
In a quasi-experimental study of a top AI conference, ICLR, we measured the effect of AI-assisted peer reviews on scores and acceptance rates. (Led by @russogiusep)
arxiv.org/abs/2405.02150
The most useful paper anyone working with Twitter data could read. 30m that could save you a lifetime of headaches!
Great analyses/discussion on the new (improved) API including:
- location bias
- time bias
- data decay
- content moderation bias
📰arxiv.org/abs/2204.02290