59 citations · 130 across the 12 of their papers we have counts for
13 papers
From Articles to Publishers: Aggregating Language Model Predictions for News Source Reliability Inference
John Bianchi, Manuel Pratelli, Fabio Pinelli +1
Traditionally, the reliability of news publishers is assessed by expert organisations that evaluate editorial practices, transparency and factual standards at source. When this pro…
Evaluating the Simulation of Human Personality-Driven Susceptibility to Misinformation with LLMs
Manuel Pratelli, Marinella Petrocchi
Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data…
On the efficacy of old features for the detection of new bots
Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli
For more than a decade now, academicians and online platform administrators have been studying solutions to the problem of bot detection. Bots are computer algorithms whose use is…
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…
Evaluation of Reliability Criteria for News Publishers with Large Language Models
Manuel Pratelli, John Bianchi, Fabio Pinelli +1
In this study, we investigate the use of a large language model to assist in the evaluation of the reliability of the vast number of existing online news publishers, addressing the…
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…
Evaluating Trustworthiness of Online News Publishers via Article Classification
John Bianchi, Manuel Pratelli, Marinella Petrocchi +1
The proliferation of low-quality online information in today's era has underscored the need for robust and automatic mechanisms to evaluate the trustworthiness of online news publi…
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…
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…
A Structured Analysis of Journalistic Evaluations for News Source Reliability
Manuel Pratelli, Marinella Petrocchi
In today's era of information disorder, many organizations are moving to verify the veracity of news published on the web and social media. In particular, some agencies are explori…
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…
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…