activity
20162026
most citedCoordinated Inauthentic Behavior and Information Spreading on Twitter

69 citations · 256 across the 35 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.SI2020

Information Consumption and Social Response in a Segregated Environment: the Case of Gab

Gabriele Etta, Alessandro Galeazzi, Matteo Cinelli +2

Most of the information operations involve users who may foster polarization and distrust toward science and mainstream journalism, without these users being conscious of their rol…

cs.SI2020

Human Mobility in Response to COVID-19 in France, Italy and UK

Alessandro Galeazzi, Matteo Cinelli, Giovanni Bonaccorsi +5

The policies implemented to hinder the COVID-19 outbreak represent one of the largest critical events in history. The understanding of this process is fundamental for crafting and…

physics.soc-ph2020★ 55 cited

Echo Chambers on Social Media: A comparative analysis

Matteo Cinelli, Gianmarco De Francisci Morales, Alessandro Galeazzi +2

Recent studies have shown that online users tend to select information adhering to their system of beliefs, ignore information that does not, and join groups - i.e., echo chambers…

physics.soc-ph2020

Evidence of economic segregation from mobility lockdown during COVID-19 epidemic

Giovanni Bonaccorsi, Francesco Pierri, Matteo Cinelli +8

In response to the COVID-19 pandemic, National governments have applied lockdown restrictions to reduce the infection rate. We perform a massive analysis on near real-time Italian…

physics.soc-ph2020

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

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…