activity
20232026
most citedSystematic discrepancies in the delivery of political ads on Facebook and Instagram

21 citations · 31 across the 14 of their papers we have counts for

collaborators

17 papers

cs.SI2026

Who's Blocking Whom? Candidate Generation and Block Prediction on Bluesky

Cecilia Galbiati, Carlo Bono, Carlo Piccardi +1

Blocking is a widely used tool that helps people manage unwanted interactions on social platforms. We study the problem of predicting block events on Bluesky: whether a given user…

cs.AI2026

AutoSynthesis: An agentic system for automated meta-analysis

Moein Taherinezhad, Sebastian Maier, Gerardo Vitagliano +2

Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largel…

cs.CY2026

Gender-based discrepancies in the algorithmic delivery of political ads on social media

Dominik Bär, Francesco Corso, Gianmarco De Francisci Morales +2

Social media has become a key channel for political advertising during election campaigns. However, algorithmic biases in the delivery of these ads may distort the public's exposur…

cs.CY2025

Effects of Algorithmic Visibility on Conspiracy Communities: Reddit after Epstein's 'Suicide'

Asja Attanasio, Francesco Corso, Gianmarco De Francisci Morales +1

Following the death of Jeffrey Epstein, the subreddit r/conspiracy experienced a significant visibility shock that brought mainstream users into direct contact with established con…

cs.CL2025

Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Tendencies in Large Language Models

Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales

We investigate whether Large Language Models (LLMs) exhibit conspiratorial tendencies, whether they display socio-demographic biases in this domain, and how easily they can be cond…

cs.SI2025

Simulating Online Social Media Conversations on Controversial Topics Using AI Agents Calibrated on Real-World Data

Elisa Composta, Nicolo' Fontana, Francesco Corso +1

Online social networks offer a valuable lens to analyze both individual and collective phenomena. Researchers often use simulators to explore controlled scenarios, and the integrat…

cs.SI2025

Among Us: Language of Conspiracy Theorists on Mainstream Reddit

Francesco Corso, Giuseppe Russo, Francesco Pierri +1

The interaction between fringe subcultures and mainstream online communities poses significant challenges for understanding discourse on social media. In this work, we investigate…

cs.SI2025

A longitudinal analysis of misinformation, polarization and toxicity on Bluesky after its public launch

Gianluca Nogara, Erfan Samieyan Sahneh, Matthew R. DeVerna +5

Bluesky is a decentralized, Twitter-like social media platform that has rapidly gained popularity. Following an invite-only phase, it officially opened to the public on February 6t…

cs.CL2025

Evaluating AI capabilities in detecting conspiracy theories on YouTube

Leonardo La Rocca, Francesco Corso, Francesco Pierri

As a leading online platform with a vast global audience, YouTube's extensive reach also makes it susceptible to hosting harmful content, including disinformation and conspiracy th…

cs.SI2025

Self-moderation in the decentralized era: decoding blocking behavior on Bluesky

Carlo Bono, Nick Liu, Giuseppe Russo +1

Moderation and blocking behavior, both closely related to the mitigation of abuse and misinformation on social platforms, are fundamental mechanisms for maintaining healthy online…

cs.CY2025

Evaluating open-source Large Language Models for automated fact-checking

Nicolo' Fontana, Francesco Corso, Enrico Zuccolotto +1

The increasing prevalence of online misinformation has heightened the demand for automated fact-checking solutions. Large Language Models (LLMs) have emerged as potential tools for…

cs.CY2024

Conspiracy theories and where to find them on TikTok

Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales

TikTok has skyrocketed in popularity over recent years, especially among younger audiences. However, there are public concerns about the potential of this platform to promote and a…

cs.SI2024★ 3 cited

A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine

Francesco Corso, Giuseppe Russo, Francesco Pierri

Global events like wars and pandemics can intensify online discussions, fostering information sharing and connection among individuals. However, the divisive nature of such events…

cs.SI2024

Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy

Gianluca Nogara, Francesco Pierri, Stefano Cresci +2

The kick-off of vaccination campaigns in Europe, starting in late December 2020, has been followed by the online spread of controversies and conspiracies surrounding vaccine validi…

cs.CY2024

What we can learn from TikTok through its Research API

Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales

TikTok is a social media platform that has gained immense popularity over the last few years, particularly among younger demographics, due to the viral trends and challenges shared…

cs.SI2023★ 7 cited

Toxic Bias: Perspective API Misreads German as More Toxic

Gianluca Nogara, Francesco Pierri, Stefano Cresci +3

Proprietary public APIs play a crucial and growing role as research tools among social scientists. Among such APIs, Google's machine learning-based Perspective API is extensively u…

cs.SI2023★ 21 cited

Systematic discrepancies in the delivery of political ads on Facebook and Instagram

Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales +1

Political advertising on social media has become a central element in election campaigns. However, granular information about political advertising on social media was previously u…