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Francesco Salvi

@frasalvi.bsky.social
247 followers 180 following 29 posts

PhD Student @ Princeton CITP | Computational Social Science, NLP, Persuasion, Politics | he/him | frasalvi.github.io

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Reposted by Francesco Salvi
Isabel Silva Corpus @isabelcorpus.bsky.social · 30/09/2026
In 2023, Change.org integrated an AI-assisted writing tool into their platform. We found that access to the tool changed platform trends in petition text, but that outcomes (signatures and comments) did not improve... Excited that this paper is out, check it out! 🔗: www.nature.com/articles/s41...
nature.com
Introducing AI to an online petition platform changed outputs but not outcomes - Nature Human Behaviour
Corpus et al. examine how the introduction of an AI writing tool impacted Change.org petitions, finding that it increased petition homogeneity but did not improve petition outcomes.
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Francesco Salvi @frasalvi.bsky.social · 28/07/2026
Headed to Vermont for IC2S2! I will be giving two parallel talks: 🎤 Wed 29, 10:45-12:15 (AI in Education). Ongoing work w/ @wikieducation.bsky.social on the impact of LLMs in Wikipedia. 🎤 Wed 29, 2:15-3:45 (HCI and practice). LLMs persuasiveness in commercial settings.
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Romina Mahinpei @rmahinpei.bsky.social · 16/06/2026
Are you a Bluesky user or developer? Princeton's HCI group is conducting an IRB-approved interview study on perspectives about generative AI (genAI) in decentralized social media. Participation includes: • 45–60 min Zoom interview • $30 USD digital gift card Signup: forms.gle/EDmcLnjbamtb...
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 11/06/2026
New preprint! We introduce a new benchmark, SciConBench, with 9.11k scientific questions derived from Cochrane Systematic Reviews. We find evidence that frontier AI agents **cannot** synthesize scientific conclusions well. A thread 🧵 w/ @hayoungjung.bsky.social & others!
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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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Brandon Stewart @bstewart.bsky.social · 13/05/2026
1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses.
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 09/05/2026
My new post discusses the probable future of AI-assisted shopping! Drawing on our recent paper, I argue that if LLMs become the interface through which we search, compare, and buy things, we need a much sharper line between advertising and advice! doomscrollingbabel.manoel.xyz/p/when-the-a...
doomscrollingbabel.manoel.xyz
When the AI Assistant Becomes the Ad
This post describes our recent paper: Commercial Persuasion in AI-Mediated Conversations
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Petter Törnberg @pettertornberg.com · 01/05/2026
LLMs have been widely reported as left-wing biased. The finding has shaped policy and debate — with Trump banning "Woke AI". Our new paper challenges this story. It's not that the models are biased. It's that they think the auditor is. 🧵 w/ michelleschimmel.bsky.social‬arxiv.org/pdf/2604.27633
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Maria Antoniak @mariaa.bsky.social · 07/04/2026
Important thread and paper. This is one of my biggest worries about chatbots, especially when combined with roleplay and any kind of user-chatbot "relationship." And now imagine persuasion for politics and other topics, not just purchasing choices...
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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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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 04/02/2026
Deepfake pornography isn’t going away just because we are passing laws and taking down a couple of big websites. Our new pre-print, led by @aedcv.bsky.social suggests that the sharing of this material continued to prosper even after platform and policy shocks. arxiv.org/abs/2602.02754
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David Garcia @dgarcia.eu · 30/01/2026
We are looking for a doctoral researcher to work with us on a supercool project in collaboration with linguists. The deadline is Feb 15th, contact me if you have any questions! stellen.uni-konstanz.de/jobposting/9...
stellen.uni-konstanz.de
Doctoral Position in Social Data Science
Deadline: 15.02.2026
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Reposted by Francesco Salvi
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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Francesco Salvi @frasalvi.bsky.social · 28/12/2025
We rely on benchmarks to answer questions they weren’t designed to ask. This post thoughtfully explores the "empiricism gap" in ML/CS, and what social-science methods can offer. A great read for both CS and social sciences folks.
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Francesco Salvi @frasalvi.bsky.social · 03/10/2025
🌱✨ Life update: I just started my PhD at Princeton University! I will be supervised by @manoelhortaribeiro.bsky.social and affiliated with Princeton CITP. It's only been a month, but the energy feels amazing —very grateful for such a welcoming community. Excited for what’s ahead! 🚀
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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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Francesco Salvi @frasalvi.bsky.social · 08/09/2025
✍️ I wrote a short piece for the #SPSPblog about our work on AI persuasion (w/ @manoelhortaribeiro.bsky.social @ricgallotti.bsky.social Robert West). Read it at: t.co/MipJKWbb1h. Thanks @andyluttrell.bsky.social @prpietromonaco.bsky.social @spspnews.bsky.social for your invitation and feedback!
t.co
https://ow.ly/UicN50WTirh
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Hayoung Jung @hayoungjung.bsky.social · 08/09/2025
🚨YouTube is a key source of health info, but it’s also rife with dangerous myths on opioid use disorder (OUD), a leading cause of death in the U.S. To understand the scale of such misinformation, our #EMNLP2025 paper introduces MythTriage, a scalable system to detect OUD myth🧵
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EPFL School of Computer and Communication Sciences @icepfl.bsky.social · 02/09/2025
EPFL, ETH Zurich & CSCS just released Apertus, Switzerland’s first fully open-source large language model. Trained on 15T tokens in 1,000+ languages, it’s built for transparency, responsibility & the public good. Read more: actu.epfl.ch/news/apertus...
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Ethan Mollick @emollick.bsky.social · 16/05/2025
Another paper showing AI (Claude 3.5) is more persuasive than the average human, even when the humans had financial incentives In this case, either AI or humans (paid if they were persuasive) tried to convince quiz takers (paid for accuracy) to pick either right or wrong answers on a quiz.
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Julia Mendelsohn @jmendelsohn2.bsky.social · 21/05/2025
📣 Super excited to organize the first workshop on ✨NLP for Democracy✨ at COLM @colmweb.org!! Check out our website: sites.google.com/andrew.cmu.e... Call for submissions (extended abstracts) due June 19, 11:59pm AoE #COLM2025 #LLMs #NLP #NLProc #ComputationalSocialScience
sites.google.com
NLP 4 Democracy - COLM 2025
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Nature Portfolio @natureportfolio.nature.com · 19/05/2025
A study in Nature Human Behaviour finds that large language models (LLMs), such as GPT-4, can be more persuasive than humans 64% of the time in online debates when adapting their arguments based on personalised information about their opponents. go.nature.com/4j9ibyE 🧪
This is figure 1, which shows an overview of the experimental design.
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The Guardian @theguardian.com · 19/05/2025
AI can be more persuasive than humans in debates, scientists find
theguardian.com
AI can be more persuasive than humans in debates, scientists find
Study author warns of implications for elections and says ‘malicious actors’ are probably using LLM tools already Artificial intelligence can do just as well as humans, if not better, when it comes to persuading others in a debate, and not just because it cannot shout, a study has found. Experts say the results are concerning, not least as it has potential implications for election integrity. Continue reading...
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MIT Technology Review @technologyreview.com · 19/05/2025
Millions of people argue with each other online every day, but remarkably few of them change someone’s mind. New research suggests that large language models might do a better job. The finding suggests that AI could become a powerful tool for persuading people, for better or worse.
technologyreview.com
AI can do a better job of persuading people than we do
OpenAI’s GPT-4 is much better at getting people to accept its point of view during an argument than humans are—but there’s a catch.
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Francesco Salvi @frasalvi.bsky.social · 19/05/2025
📢📜 Excited to share that our paper "On the conversational persuasiveness of GPT-4" has been published in Nature Human Behaviour! 🤖 Key takeaway: LLMs can already reach superhuman persuasiveness, especially when given access to personalized information www.nature.com/articles/s41...
nature.com
On the conversational persuasiveness of GPT-4 - Nature Human Behaviour
Salvi et al. find that GPT-4 outperforms humans in debates when given basic sociodemographic data. With personalization, GPT-4 had 81.2% higher odds of post-debate agreement than humans.
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Chris Simms @chrisnsimms.bsky.social · 19/05/2025
“Obviously as soon as people see that you can persuade people more with LLMs, they’re going to start using them. I find it both fascinating and terrifying,” says @frasalvi.bsky.social Read more on persuasive chatbots in my rather terrifying piece for @nature.com 🧪 www.nature.com/articles/d41...
nature.com
AI is more persuasive than people in online debates
When given information about its human opponents, the large language model GPT-4 was able to make particularly convincing arguments.
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Scott Delaney @scott-delaney.bsky.social · 21/04/2025
If your NSF grant has been terminated, please, please report it here: airtable.com/appGKlSVeXni... Collecting this information is supremely helpful to organize and facilitate a response.
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Akhil Arora @akhilarora.bsky.social · 18/03/2025
I am recruiting 2 PhD students for Fall'25 @csaudk.bsky.social to work on bleeding-edge topics in #NLProc #LLMs #AIAgents (e.g. LLM reasoning, knowledge-seeking agents, and more). Details: www.cs.au.dk/~clan/openings Deadline: May 1, 2025 Please boost! cc: @aicentre.dk @wikiresearch.bsky.social
cs.au.dk
Open positions and projects
### Open semester and Master's projects If you're an AU student looking for a semester project, a Bachelor project, or an MS thesis project, please refer to [this list](projects). ### Prospective PhD ...
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International Conference on Computational Social Science @ic2s2.bsky.social · 14/02/2025
🚨 #IC2S2’25 Call for Abstract deadline is just around the corner—Feb 24, 2025 Submit your abstract now: www.ic2s2-2025.org/submit-abstr... and join us in Norrköping, Sweden. Tutorials announcement coming soon!
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Luca Maria Aiello @lajello.bsky.social · 15/01/2025
New tool to estimate the level of participation in collective action expressed in natural language. Applied to social media, it can produce large-scale and granular estimates of behavior change wrt collective action. github.com/ariannap13/e... @nerdsitu.bsky.social @itu.dk @carlsbergfondet.dk
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Francesco Salvi @frasalvi.bsky.social · 15/01/2025
Just arrived in Trento for cs2italy.org, the first Italian conference on CSS: excited to see the Italian community gathering together! 🤖 I'll be presenting our work on AI persuasion [1] tomorrow morning at 11:15 to session 1A — come say hello! [1] arxiv.org/abs/2403.14380
cs2italy.org
CS2Italy
Join the premier CS2 Italy Conference, a pivotal event for computational social scientists in Italy and internationally. Scheduled for 2025, this conference will feature interdisciplinary collaboratio...
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Cameron Jones @camrobjones.bsky.social · 10/01/2025
How effective are LLMs are persuading and deceiving people? In a new preprint we review different theoretical risks of LLM persuasion; empirical work measuring how persuasive LLMs currently are; and proposals to mitigate these risks. 🧵 arxiv.org/abs/2412.17128
arxiv.org
Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Large Language Models (LLMs) can generate content that is as persuasive as human-written text and appear capable of selectively producing deceptive outputs. These capabilities raise concerns about pot...
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Marius Sältzer @msaeltzer.bsky.social · 06/12/2024
Before you all delete your accounts on X, you should consider deleting content but "donating" them to science. Many institutions, such as @gesis-dataservices.bsky.social might use them to scrape more effectively than via burner accounts.
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Marcel Salathé @marcelsalathe.bsky.social · 06/12/2024
What do Samy Bengio, Michael Bronstein (@mmbronstein.bsky.social), and Annie Hartely have in common, apart from being brilliant scientists? They are now professors at EPFL. Welcome!!! 🤗🚀 actu.epfl.ch/news/appoint...
actu.epfl.ch
Appointment of EPFL professors
The Board of the Swiss Federal Institutes of Technology has announced the appointment of professors at EPFL.
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Francesco Salvi @frasalvi.bsky.social · 04/12/2024
GPT-4 is able to pass on average 91.7% of EPFL core courses, raising significant concerns about the vulnerability of higher education to AI assistants. Timely large-scale study mobilising an army of scholars across EPFL, including my small contribution to the evaluation efforts ✍️ More below ⬇️
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 27/11/2024
New @acm-cscw.bsky.social paper, new content moderation paradigm. Post Guidance lets moderators prevent rule-breaking by triggering interventions as users write posts! We implemented PG on Reddit and tested it in a massive field experiment (n=97k). It became a feature! arxiv.org/abs/2411.16814
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Francesco Salvi @frasalvi.bsky.social · 26/11/2024
Absolutely amazing field experiment showing how LLMs can effectively decrease reported polarization by re-ranking social feeds
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Emilio Ferrara @emilioferrara.bsky.social · 14/11/2024
Ready for another Computational Social Science Starter Pack? Here is number 2! More amazing folks to follow! Many students and the next gen represented! go.bsky.app/GoEyD7d
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Emilio Ferrara @emilioferrara.bsky.social · 13/11/2024
Sharing my first Computational Social Science starter pack! Will grow with time, feel free to nominate and self nominate! go.bsky.app/CYmRvcK
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 17/11/2024
I made a second starter pack since the first one is full 😀
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 14/11/2024
I made a starter pack with as many of the Twitter folk I follow that I could find: go.bsky.app/9u9wdBc
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