390 citations · 1.8k across the 44 of their papers we have counts for
17 papers · 1 filter
TROPIC - Trustworthiness Rating of Online Publishers through online Interactions Calculation
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
Existing methods for assessing the trustworthiness of news publishers face high costs and scalability issues. The tool presented in this paper supports the efforts of specialized o…
Leveraging Content Producer Networks and User Perception to Detect Online Discursive Communities
Stefano Guarino, Ayoub Mounim, Guido Caldarelli +1
Online discussions are often characterized by strong behavioral asymmetries: a relatively small fraction of users actively produces content, while the majority primarily consumes a…
Online disinformation in the 2020 U.S. Election: swing vs. safe states
Manuel Pratelli, Marinella Petrocchi, Fabio Saracco +1
For U.S. presidential elections, most states use the so-called winner-take-all system, in which the state's presidential electors are awarded to the winning political party in the…
Unveiling News Publishers Trustworthiness Through Social Interactions
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
With the primary goal of raising readers' awareness of misinformation phenomena, extensive efforts have been made by both academic institutions and independent organizations to dev…
Entropy-based detection of Twitter echo chambers
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
Echo chambers, i.e. clusters of users exposed to news and opinions in line with their previous beliefs, were observed in many online debates on social platforms. We propose a compl…
Inferring comparative advantage via entropy maximization
Matteo Bruno, Dario Mazzilli, Aurelio Patelli +2
We revise the procedure proposed by Balassa to infer comparative advantage, which is a standard tool, in Economics, to analyze specialization (of countries, regions, etc.). Balassa…
Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?
Manuel Pratelli, Marinella Petrocchi, Fabio Saracco +1
For more than a decade scholars have been investigating the disinformation flow on social media contextually to societal events, like, e.g., elections. In this paper, we analyze th…
Entropy-based models to randomize real-world hypergraphs
Fabio Saracco, Giovanni Petri, Renaud Lambiotte +1
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex…
Bow-Tie Structures of Twitter Discursive Communities
Mattia Mattei, Manuel Pratelli, Guido Caldarelli +2
In the analysis of Twitter debate, the recent literature focused on discursive communities, i.e. clusters of accounts interacting among themselves via retweets. In the present work…
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election
Matteo Bruno, Renaud Lambiotte, Fabio Saracco
Online Social Networks represent a novel opportunity for political campaigns, revolutionising the paradigm of political communication. Nevertheless, many studies uncovered the pres…
Italian Twitter semantic network during the Covid-19 epidemic
Mattia Mattei, Guido Caldarelli, Tiziano Squartini +1
The Covid-19 pandemic has had a deep impact on the lives of the entire world population, inducing a participated societal debate. As in other contexts, the debate has been the subj…
Firms' Challenges and Social Responsibilities during Covid-19: a Twitter Analysis
Alessia Patuelli, Guido Caldarelli, Nicola Lattanzi +1
The Covid-19 pandemic caused disruptive effects for individuals, firms, and societies. In this paper, we offer insights on the major issues and challenges firms are facing in the C…
Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration
Tommaso Radicioni, Tiziano Squartini, Elena Pavan +1
The huge amount of data made available by the massive usage of social media has opened up the unprecedented possibility to carry out a data-driven study of political processes. Whi…
A model for the Twitter sentiment curve
Giacomo Aletti, Irene Crimaldi, Fabio Saracco
Twitter is among the most used online platforms for the political communications, due to the concision of its messages (which is particularly suitable for political slogans) and th…
Flow of online misinformation during the peak of the COVID-19 pandemic in Italy
Guido Caldarelli, Rocco de Nicola, Marinella Petrocchi +2
The COVID-19 pandemic has impacted on every human activity and, because of the urgency of finding the proper responses to such an unprecedented emergency, it generated a diffused s…
Analysing Twitter Semantic Networks: the case of 2018 Italian Elections
Tommaso Radicioni, Fabio Saracco, Elena Pavan +1
Social media play a key role in shaping citizens' political opinion. According to the Eurobarometer, the percentage of EU citizens employing online social networks on a daily basis…
The role of bot squads in the political propaganda on Twitter
Guido Caldarelli, Rocco De Nicola, Fabio Del Vigna +2
Social Media are nowadays the privileged channel for information spreading and news checking. Unexpectedly for most of the users, automated accounts, also known as social bots, con…