Our study of 400 million tweets shows that the “war on science” is far more complex than a simple clash between truth and falsehood.
🔍 read more in our latest article
magazine.fbk.eu/en/news/what...
@ricgallotti.bsky.social
@chub-fbk.bsky.social
@vtraag.bsky.social
Posts by Riccardo Gallotti
Q4. If AI is the answer to online disinfo, what role is left for human judgement in deciding what counts as trustworthy information?
#AICODEPROJECT
Q5. Will AI tools empower citizens to spot disinfo themselves – or just hand more power to platforms and gatekeepers?
#AICODEPROJECT
Q3. Can AI really foster trust online, or do we first need to rebuild trust in the people/institutions deploying it?
#AICODEPROJECT
Q2. Is the biggest challenge building better AI, or convincing the public that AI-backed systems can be fair and transparent?
#AICODEPROJECT
Q1. Can any tech stay ahead of disinformation tactics that evolve just as fast?
#AICODEPROJECT
🚨 Finally our paper
"Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli"
is out 🤩 doi.org/10.1098/rsif...
Laura Ferrarotti, Bruno Lepri and @ricgallotti.bsky.social
@mobs-fbk.bsky.social
@chub-fbk.bsky.social
Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
https://arxiv.org/abs/2509.01699
Also seen yesterday at @css-conference.bsky.social a work on reinforcement learning applied to ants behaviour by Alessio Pitteri, our study of the historical evolution of EU projects by @verorsanigo.bsky.social and the study on Coordinated Behavior by @elisamurators.bsky.social #CCS2025
The studies presented analyse respectively:
Twitter by @annabertani.bsky.social
Telegram by @tlouf.bsky.social
Mastodon by @arregui.bsky.social
Youtube by @matteoscianna.bsky.social
#CCS2025
Wide coverage of social media and disinformation analysis yesterday from our lab at the @css-conference.bsky.social, with four talks presenting our works associate to the European projects #AI4TRUST #AICODE_EU #HATEDEMICS
New pre-print out ! Work led by @eleandre.bsky.social, in collaboration with M. Napolitano and @ricgallotti.bsky.social. Using Foursquare data from Bologna, we find that the distribution of POIs follows a clear power-law pattern at the city scale. To explain this, we introduce a framework where ...
2nd keynote Manlio De Domenico discusses approaches to figure out functionalities of complex systems
#CCS2025
Yesterday was our first day at @css-conference.bsky.social
in Siena 🇮🇹. We presented on Telegram data collection @elisamurators.bsky.social , city growth @ulyssemarquis.bsky.social and urban traffic (Alberto Amaduzzi). Excited for 5 more talks today! #CCS2025
📣🚨 New work out on @plos.org Computational Biology!
Excited and proud to have provided the world with more maps of Puglia🕷️
Thank you all @luzuzek.bsky.social Oriol Artime @ricgallotti.bsky.social @mtizzoni.bsky.social
journals.plos.org/ploscompbiol...
💊main results below👇
Great energy at the poster session today! It was a pleasure to be part of it presenting our work "How to design a collection strategy for monitoring disinformation and hate speech in Telegram".
Excited for round two tomorrow – see you all there! ☀️
This research was done by @luzuzek.bsky.social zek.bsky.social, Juan Pablo Bascur, @annabertani.bsky.social, and @ricgallotti.bsky.social. This project is supported by European Media and Information Fund.
⤴️
So excited to see this come together! 🎉
Our latest study explores the interplay between science and misinformation in public debates during COVID-19 🔍 arxiv.org/abs/2507.01481
👇Take a look
Mapping the interaction between science and misinformation in COVID-19 tweets. Publication from @luzuzek.bsky.social, Juan Pablo Bascur, @annabertani.bsky.social, @ricgallotti.bsky.social. This project is supported by European Media and Information Fund. Abstract: During the COVID-19 pandemic, scientific understanding related to the topic evolved rapidly. Along with scientific information being discussed widely, a large circulation of false information, labelled an infodemic by the WHO, emerged. Here, we study the interaction between misinformation and science on Twitter (now X) during the COVID-19 pandemic. We built a comprehensive database of 407M COVID-19 related tweets and classified the reliability of URLs in the tweets based on Media Bias/Fact Check. In addition, we use Altmetric data to see whether a tweet refers to a scientific publication. We find that many users find that many users share both scientific and unreliable content; out of the 1.2M users who share science, also share unreliable content. Publications that are more frequently shared by users who also share unreliable content are more likely to be preprints, slightly more often retracted, have fewer citations, and are published in lower-impact journals on average. Our findings suggest that misinformation is not related to a ``deficit'' of science. In addition, our findings raise some critical questions about certain open science practices and their potential for misuse. Given the fundamental opposition between science and misinformation, our findings highlight the necessity for proactive scientific engagement on social media platforms to counter false narratives during global crises.
New preprint! 🚨
We study the interaction between misinformation and science on Twitter during COVID-19 based on ~407M tweets. Both science and misinformation featured prominently during the pandemic, but the interaction between the two has not been studied on this scale before.
🧵 (1/10)
The Grand Amphithéâtre of @sorbonne-universite.fr is definitively not a bad venue for a the keynote session of @sunbelt2025paris.bsky.social #Sunbelt2025
🚨 check out our latest work 👇🏼
Paris, croissants, and network science! 🌐✨
Presenting at #Sunbelt2025 on how domain-level signals help fact-checkers outsmart misinformation.
Vive la vérité!
@sunbelt2025paris.bsky.social @insna.bsky.social
🚨If you're around Paris come to see @tlouf.bsky.social talking today about the structure and dynamics of information flow on Telegram at @sunbelt2025paris.bsky.social and @css-fr.bsky.social
🎙️Busy morning today at @sunbelt2025paris.bsky.social for CHuB talking about mis/disinformation on Twitter and Mastodon
@ricgallotti.bsky.social
@kaveh-kadkhoda.bsky.social
@annabertani.bsky.social
I'm also very happy that this conference brought me back just a few hundred meters from where I used to live in the 5th arrondissement. (And no, I wasn't rich - I was sharing a triple room!)
I finally have the pleasure of attending Sunbelt in person for the first time, together with four members of my unit @chub-fbk.bsky.social
This year among the organisers we also have many familiar faces such as @camcom.bsky.social , @chavalarias.org , Floriana Gargiulo and Emmanuel Lazega.
How do cities expand?
Using surface growth physics, we found a unique exponent governing their local geometry. Instead, their dynamics range from smooth diffusion to abrupt coalescence, with demographic pressure driving where each city lands on that spectrum.
arxiv.org/abs/2506.10656
Summer vibes in Trento ☀️
perfect for a CHuB-day at the Caldonazzo lake ⛰️🏖️
@ricgallotti.bsky.social @luzuzek.bsky.social @tlouf.bsky.social @andreaguizzo.bsky.social @ulyssemarquis.bsky.social
@css-conference.bsky.social
@ricgallotti.bsky.social
@ifisc.uib-csic.es
@elsaarcaute.bsky.social
@martikagv.bsky.social
@andreaguizzo.bsky.social
@isi.it
This new paper finds that GPT-4 outperforms humans in debates when prompted with basic sociodemographic data.
@frasalvi.bsky.social @manoelhortaribeiro.bsky.social @ricgallotti.bsky.social
www.nature.com/articles/s41...