activity
20192022
collaborators

6 papers

cs.SI2022

Doing data science with platforms crumbs: an investigation into fakes views on YouTube

Maria Castaldo, Paolo Frasca, Tommaso Venturini +1

This paper contributes to the ongoing discussions on the scholarly access to social media data, discussing a case where this access is barred despite its value for understanding an…

cs.CL2021

Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels

Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev +3

We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we des…

physics.soc-ph2021

A collaborative path to scientific discovery: Distribution of labor, productivity and innovation in collaborative science

Floriana Gargiulo, Maria Castaldo, Tommaso Venturini +1

In this work we dig into the process of scientific discovery by looking at a yet unexploited source of information: Polymath projects. Polymath projects are an original attempt to…

physics.soc-ph2020

The Rhythms of the Night: increase in online night activity and emotional resilience during the Spring 2020 Covid-19 lockdown

Maria Castaldo, Tommaso Venturini, Paolo Frasca +1

Context. The lockdown orders established in multiple countries in response to the Covid-19 pandemics are arguably one of the most widespread and deepest shock experienced by societ…

cs.SI2020

Junk News Bubbles: Modelling the Rise and Fall of Attention in Online Arenas

Maria Castaldo, Tommaso Venturini, Paolo Frasca +1

In this paper, we present a type of media disorder which we call "`junk news bubbles" and which derives from the effort invested by online platforms and their users to identify and…

cs.SI2019

On a Centrality Maximization Game

Maria Castaldo, Costanza Catalano, Giacomo Como +1

The Bonacich centrality is a well-known measure of the relative importance of nodes in a network. This notion is, for example, at the core of Google's PageRank algorithm. In this p…