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annabertani.bsky.social

@annabertani.bsky.social

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Complex Human Behaviour Lab @chub-fbk.bsky.social · 22/12/2025

We're thrilled to share that last Friday, Anna Bertani 👩🏻‍🎓 successfully defended her PhD thesis "Quantifying and modeling the risks and dynamics of information disorders in digital ecosystems" with cum laude 👏🏼🎉 Congratulations, Anna!! And best wishes for what's next ✨ @annabertani.bsky.social

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Complex Human Behaviour Lab @chub-fbk.bsky.social · 03/09/2025

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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Vincent Traag @vtraag.bsky.social · 04/07/2025

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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Complex Human Behaviour Lab @chub-fbk.bsky.social · 26/06/2025

Cocktails in Paris 🥂 Thanks @sunbelt2025paris.bsky.social for this amazing view ✨🇫🇷 @ricgallotti.bsky.social @tlouf.bsky.social @luzuzek.bsky.social @annabertani.bsky.social

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Complex Human Behaviour Lab @chub-fbk.bsky.social · 25/06/2025

🎙️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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