460 citations · 2.4k across the 35 of their papers we have counts for
6 papers · 1 filter
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…
One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donald
Amaury Trujillo, Stefano Cresci
Evaluating the effects of moderation interventions is a task of paramount importance, as it allows assessing the success of content moderation processes. So far, intervention effec…
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…
Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald
Amaury Trujillo, Stefano Cresci
The subreddit r/The_Donald was repeatedly denounced as a toxic and misbehaving online community, reasons for which it faced a sequence of increasingly constraining moderation inter…