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Reposted by Riccardo Gallotti

physics.soc-ph @arxiv-soc-ph.bsky.social · Sep 3

Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
https://arxiv.org/abs/2509.01699

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Complex Human Behaviour Lab @chub-fbk.bsky.social · Sep 3

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

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Sep 3

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

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Sep 3

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

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Ulysse Marquis @ulyssemarquis.bsky.social · Sep 3

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 ...

physics.soc-ph @arxiv-soc-ph.bsky.social · Sep 3

Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
https://arxiv.org/abs/2509.01699

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Reposted by Riccardo Gallotti

Hiroki Sayama @hirokisayama.bsky.social · Sep 1

2nd keynote Manlio De Domenico discusses approaches to figure out functionalities of complex systems
#CCS2025

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Sep 2

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

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Reposted by Riccardo Gallotti

Matteo Scianna @matteoscianna.bsky.social · Aug 18

📣🚨 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👇

Comparing the effectiveness of ring and block-vaccination strategies on networks

Author summary Infectious diseases such as measles and Ebola have shown how quickly outbreaks can spread and how essential vaccination is to protect individuals. In our work, we investigate a spectrum...

journals.plos.org

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Reposted by Riccardo Gallotti

Elisa Muratore @elisamurators.bsky.social · Sep 1

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! ☀️

Conference on Complex Systems @css-conference.bsky.social · Sep 1

Today’s Poster Session in pictures – thank you to all presenters!

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Reposted by Riccardo Gallotti

Vincent Traag @vtraag.bsky.social · Jul 4

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.

⤴️

Vincent Traag @vtraag.bsky.social · Jul 4

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)

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.

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Reposted by Riccardo Gallotti

Lucila Álvarez-Žužek @luzuzek.bsky.social · Jul 4

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

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Reposted by Riccardo Gallotti

Vincent Traag @vtraag.bsky.social · Jul 4

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)

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Riccardo Gallotti @ricgallotti.bsky.social · Jun 26

The Grand Amphithéâtre of @sorbonne-universite.fr is definitively not a bad venue for a the keynote session of @sunbelt2025paris.bsky.social #Sunbelt2025

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Jun 16

🚨 check out our latest work 👇🏼

Ulysse Marquis @ulyssemarquis.bsky.social · Jun 16

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

Universal roughness and the dynamics of urban expansion

We present a new approach to quantify urban sprawl using tools from surface growth physics. Analyzing built-up area expansion in 19 cities (1985-2015), we uncover anisotropic growth with branch-like e...

arxiv.org

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Reposted by Riccardo Gallotti

Kaveh @kaveh-kadkhoda.bsky.social · Jun 25

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

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Jun 25

🚨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

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Jun 25

🎙️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

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Riccardo Gallotti @ricgallotti.bsky.social · Jun 25

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!)

Riccardo Gallotti @ricgallotti.bsky.social · Jun 25

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.

Complex Human Behaviour Lab @chub-fbk.bsky.social · Jun 25

🎙️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

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Reposted by Riccardo Gallotti

Ulysse Marquis @ulyssemarquis.bsky.social · Jun 16

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

Universal roughness and the dynamics of urban expansion

We present a new approach to quantify urban sprawl using tools from surface growth physics. Analyzing built-up area expansion in 19 cities (1985-2015), we uncover anisotropic growth with branch-like e...

arxiv.org

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Reposted by Riccardo Gallotti

Complex Human Behaviour Lab @chub-fbk.bsky.social · Jun 13

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

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Reposted by Riccardo Gallotti

Mattia Mazzoli @mattiamazzoli.bsky.social · May 26

@css-conference.bsky.social
@ricgallotti.bsky.social
@ifisc.uib-csic.es
@elsaarcaute.bsky.social
@martikagv.bsky.social
@andreaguizzo.bsky.social
@isi.it

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Reposted by Riccardo Gallotti

Nature Human Behaviour @nathumbehav.nature.com · May 21

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...

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.

www.nature.com

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Reposted by Riccardo Gallotti

Timothy Caulfield @caulfieldtim.bsky.social · May 20

AI is more persuasive than a human in a debate, study finds wapo.st/4mjhHsV

@ricgallotti.bsky.social: "We have clearly reached the technological level where it is possible to create a network of LLM-based automated accounts that are able to strategically nudge the public opinion in one direction."

AI is more persuasive than a human in a debate, study finds

When provided basic demographic information on their opponents, AI chatbots adapted their arguments and became more persuasive than humans in online debates.

wapo.st

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Reposted by Riccardo Gallotti

Nature Portfolio @natureportfolio.nature.com · May 19

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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