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Finally out our paper in Nature "Persistent Interaction Patterns across Social Media and Over Time"
nature.com/articles/s41586-0…
#Toxicity #OnlineSocialDynamics @a_baronca @matteo_cinelli @RicercaSapienza @SapienzaRoma
W. Quattrociocchi retweeted
All'intelligenza artificiale non si può delegare granché finché non sarà in grado di valutare l'incertezza sulle sue risposte, mi ha detto @Walter4C su @ilmanifesto di oggi.
ilmanifesto.it/intelligenza-…
W. Quattrociocchi retweeted
The AI Act, the EU's first AI law, has just been reinforced.
Two new bodies will help apply the rules across Europe:
✅ Scientific Panel
✅ Advisory Forum
Independent experts. 2-year terms.
One mission: making AI work for Europe.
🔗 link.europa.eu/8nvpvY
The Survey.
15 years of research on social media.
Polarization, misinformation, algorithms, echo chambers, coordinated behavior, opinion dynamics.
Patterns, Models, and Challenges in Online Social Media is now out in ACM TWeb dl.acm.org/doi/10.1145/37965…
W. Quattrociocchi retweeted
A technical rebuttal to the increasingly wild claims about LLMs (aka Generative AI). By @GaryMarcus , @Walter4C, & @ValerioCapraro.
W. Quattrociocchi retweeted
Nope, AGI hasn’t arrived yet. A response to that recent essay in Nature, link below.
LLMs don’t form judgments.
They skip straight to the answer.
No evaluation.
No grounding.
Just fluent output.
When generation bypasses judgment, knowledge becomes a performance.
Welcome to Epistemia. @PNASNews @SapienzaRoma
pnas.org/doi/10.1073/pnas.25…
W. Quattrociocchi retweeted
Is the worst consequence of Generative AI the damage it has done to artists, writers, and other creators? The damage it is doing to trust and truth? The cyberattacks it is enabling?
Or the damage that is doing to our youth?
A case for the latter:
Replying to @MrEwanMorrison
Link: I Set A Trap To Catch My Students Cheating With AI. The Results Were Shocking.
"Students are not just undermining their ability to learn, but to someday lead."
huffpost.com/entry/history-p…
W. Quattrociocchi retweeted
📢Research Highlights out today! We highlight work by @Walter4C, @matteo_cinelli, and colleagues on how LLMs generate judgments about reliability and political bias, and how their procedures compare to human evaluation. nature.com/articles/s43588-0…
Data changed the info business model: confirmation → echo chambers → infodemics.
LLMs drop cost of “knowledge-like” content to zero.
Result: Epistemia — when language sounds like knowledge.
Outsourcing shifts decisions from evidence → plausibility
PNAS: pnas.org/doi/10.1073/pnas.25…
#Grokipedia just launched.
An AI-built encyclopedia, pitched as a “neutral” alternative to Wikipedia.
But neutrality is not the point.
What happens underneath is.
👇
Together, these papers suggest a transformation:
→ Knowledge is no longer verified, but simulated
→ Platforms no longer host views, they shape belief architectures
→ Truth is not disappearing. It’s being automated, fragmented, and rebranded
Timely, considering Grokpedia
One of the most-viewed PNAS articles in the last week is “The simulation of judgment in LLMs.” Explore the article here: ow.ly/k8hq50Xj6l0
For more trending articles, visit ow.ly/IOQb50Xj6l2.
W. Quattrociocchi retweeted
LLMs can mirror expert judgment but often rely on word patterns rather than reasoning. A new study introduces epistemia, the illusion of knowledge that occurs when surface plausibility replaces verification. In PNAS: ow.ly/62E550Xcv9g




















