299 citations · 392 across the 7 of their papers we have counts for
12 papers
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
Lorenzo Mannocci, Stefano Cresci, Anna Monreale +2
Online social networks are actively involved in the removal of malicious social bots due to their role in the spread of low quality information. However, most of the existing bot d…
Personalized Interventions for Online Moderation
Stefano Cresci, Amaury Trujillo, Tiziano Fagni
Current online moderation follows a one-size-fits-all approach, where each intervention is applied in the same way to all users. This naive approach is challenged by established so…
Metaverse: Security and Privacy Issues
Roberto Di Pietro, Stefano Cresci
The metaverse promises a host of bright opportunities for business, economics, and society. Though, a number of critical aspects are still to be considered and the analysis of thei…
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
Tiziano Fagni, Stefano Cresci
Predicting the political leaning of social media users is an increasingly popular task, given its usefulness for electoral forecasts, opinion dynamics models and for studying the p…
Coordinated Behavior on Social Media in 2019 UK General Election
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti +2
Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated beha…
A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3
Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of…