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Complex Human Behaviour Lab

@chub-fbk.bsky.social

https://chub.fbk.eu/

107 Followers  |  332 Following  |  6 Posts  |  Joined: 11.03.2025  |  1.6792

Latest posts by chub-fbk.bsky.social on Bluesky

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πŸ“’ Do you want to join our group? We opened **two** calls for a fully funded PhD. Details are in the image and at the following links.

Calls: iecs.unitn.it/education/ad...
PhD Details: iecs.unitn.it/education/ad...

Deadline: August 22nd, 2025, hrs. 04:00 PM (CEST)

04.08.2025 08:56 β€” πŸ‘ 3    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1
OSF

New Preprint:
A Data-Driven Approach to Supporting Fact-Checking and Mitigating Mis/Disinformation Through Domain Quality Evaluation

πŸ”— doi.org/10.31219/osf...
@chub-fbk.bsky.social
#AI4Trust
#WebCredibility
#Misinformation

26.07.2025 10:38 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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πŸ“’ Happy to announce the next keynote speaker for UrbanSys at CCS2025
πŸ™οΈ Lin Chen
Researcher at Department of Computer Science and Engineering at The Hong Kong University of Science and Technology
πŸ”— linchen-65.github.io/linchen/
Check our final line-up!
πŸ”— urban-sys-net.weebly.com/keynote-spea...

18.07.2025 13:49 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

Our latest work with @martonkarsai.bsky.social, David SΓ‘nchez and JosΓ© Ramasco just got published! (and open access)

Here's a short thread to give you our main results ⏬

11.07.2025 09:12 β€” πŸ‘ 18    πŸ” 4    πŸ’¬ 1    πŸ“Œ 0

So excited to see this come together! πŸŽ‰

Our latest study explores the interplay between science and misinformation in public debates during COVID-19 πŸ” arxiv.org/abs/2507.01481

πŸ‘‡Take a look

04.07.2025 11:00 β€” πŸ‘ 14    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0
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.

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)

04.07.2025 10:37 β€” πŸ‘ 103    πŸ” 42    πŸ’¬ 4    πŸ“Œ 5
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The Grand AmphithéÒtre of @sorbonne-universite.fr is definitively not a bad venue for a the keynote session of @sunbelt2025paris.bsky.social #Sunbelt2025

26.06.2025 16:05 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Cocktails in Paris πŸ₯‚
Thanks @sunbelt2025paris.bsky.social for this amazing view βœ¨πŸ‡«πŸ‡·

@ricgallotti.bsky.social
@tlouf.bsky.social @luzuzek.bsky.social @annabertani.bsky.social

26.06.2025 09:01 β€” πŸ‘ 6    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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πŸ‘πŸΌπŸ‘πŸΌ

25.06.2025 15:07 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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.

25.06.2025 11:43 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0

🚨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

25.06.2025 09:32 β€” πŸ‘ 2    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0
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πŸŽ™οΈ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

25.06.2025 09:23 β€” πŸ‘ 10    πŸ” 4    πŸ’¬ 0    πŸ“Œ 1
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Paris, croissants, and network science! 🌐✨
Presenting at #Sunbelt2025 on how domain-level signals help fact-checkers outsmart misinformation.

Vive la vΓ©ritΓ©!

@sunbelt2025paris.bsky.social @insna.bsky.social

25.06.2025 09:11 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

🚨 check out our latest work πŸ‘‡πŸΌ

16.06.2025 17:29 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

🚨 Deadline is this Friday (23:59 CET), remember to submit your works to join us in Siena!

16.06.2025 10:18 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
Preview
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.

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...

21.05.2025 13:44 β€” πŸ‘ 15    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
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Summer vibes in Trento β˜€οΈ

perfect for a CHuB-day at the Caldonazzo lake β›°οΈπŸ–οΈ

@ricgallotti.bsky.social @luzuzek.bsky.social @tlouf.bsky.social @andreaguizzo.bsky.social @ulyssemarquis.bsky.social

13.06.2025 16:24 β€” πŸ‘ 6    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0

@chub-fbk is following 20 prominent accounts