activity
20192024
most citedThe COVID-19 Social Media Infodemic

1.7k citations · 2k across the 10 of their papers we have counts for

collaborators

10 papers

physics.soc-ph2024

From trust in news to disagreement: is misinformation more controversial?

Donald Ruggiero Lo Sardo, Emanuele Brugnoli, Enrico Ubaldi +2

The growing prevalence of fruitless disagreement threatens social cohesion and constructive public discourse. While polarised discussions often reflect distrust in the news, the li…

cs.CY2023

Unveiling the Hidden Agenda: Biases in News Reporting and Consumption

Alessandro Galeazzi, Antonio Peruzzi, Emanuele Brugnoli +2

One of the most pressing challenges in the digital media landscape is understanding the impact of biases on the news sources that people rely on for information. Biased news can ha…

physics.soc-ph2022★ 1 cited

Dynamics and triggers of misinformation on vaccines

Emanuele Brugnoli, Marco Delmastro

The Covid-19 pandemic has sparked renewed attention on the prevalence of misinformation online, whether intentional or not, underscoring the potential risks posed to individuals' q…

cs.CL2022★ 1 cited

Gender stereotypes in the mediated personalization of politics: Empirical evidence from a lexical, syntactic and sentiment analysis

Emanuele Brugnoli, Rosaria Simone, Marco Delmastro

The media attention to the personal sphere of famous and important individuals has become a key element of the gender narrative. Here we combine lexical, syntactic and sentiment an…

physics.soc-ph2020★ 55 cited

Time, Space and Social Interactions: Exit Mechanisms for the Covid-19 Epidemics

Antonio Scala, Andrea Flori, Alessandro Spelta +4

We develop a minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak. We show that an early lockdown shifts the epidemic i…

cs.SI2020★ 1.7k cited

The COVID-19 Social Media Infodemic

Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi +6

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the CO…

math.NA2019★ 24 cited

Iterative reconstruction of signals on graph

Emanuele Brugnoli, Elena Toscano, Calogero Vetro

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by conside…

physics.soc-ph2019★ 77 cited

Recursive patterns in online echo chambers

Emanuele Brugnoli, Matteo Cinelli, Walter Quattrociocchi +1

Despite their playful purpose social media changed the way users access information, debate, and form their opinions. Recent studies, indeed, showed that users online tend to promo…

cs.SI2019★ 130 cited

Selective Exposure shapes the Facebook News Diet

Matteo Cinelli, Emanuele Brugnoli, Ana Lucia Schmidt +3

The social brain hypothesis fixes to 150 the number of social relationships we are able to maintain. Similar cognitive constraints emerge in several aspects of our daily life, from…

cs.SI2019★ 3 cited

Lexical convergence and collective identities on Facebook

Emanuele Brugnoli, Matteo Cinelli, Fabiana Zollo +2

Recent studies, targeting Facebook, showed the tendency of users to interact with information adhering to their preferred narrative and to ignore dissenting information. Primarily…