460 citations · 1.1k across the 19 of their papers we have counts for
11 papers · 1 filter
BotVerse: Real-Time Event-Driven Simulation of Social Agents
Edoardo Allegrini, Edoardo Di Paolo, Angelo Spognardi +1
BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live netw…
BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor
Edoardo Di Paolo, Fabio De Gaspari, Angelo Spognardi
Online Social Networks (OSNs) are a cornerstone in modern society, serving as platforms for diverse content consumption by millions of users each day. However, the challenge of ens…
Deciphering Social Behaviour: a Novel Biological Approach For Social Users Classification
Edoardo Allegrini, Edoardo Di Paolo, Marinella Petrocchi +1
Social media platforms continue to struggle with the growing presence of social bots-automated accounts that can influence public opinion and facilitate the spread of disinformatio…
A Proposal for Uncovering Hidden Social Bots via Genetic Similarity
Edoardo Allegrini, Edoardo Di Paolo, Marinella Petrocchi +1
Social media platforms face an ongoing challenge in combating the proliferation of social bots, automated accounts that are also known to distort public opinion and support the spr…
From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi
Online Social Networks have revolutionized how we consume and share information, but they have also led to a proliferation of content not always reliable and accurate. One particul…
Demystifying Misconceptions in Social Bots Research
Stefano Cresci, Kai-Cheng Yang, Angelo Spognardi +3
Research on social bots aims at advancing knowledge and providing solutions to one of the most debated forms of online manipulation. Yet, social bot research is plagued by widespre…
Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi +1
The arm race between spambots and spambot-detectors is made of several cycles (or generations): a new wave of spambots is created (and new spam is spread), new spambot filters are…
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi +2
Recent studies in social media spam and automation provide anecdotal argumentation of the rise of a new generation of spambots, so-called social spambots. Here, for the first time,…
DNA-inspired online behavioral modeling and its application to spambot detection
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi +2
We propose a strikingly novel, simple, and effective approach to model online user behavior: we extract and analyze digital DNA sequences from user online actions and we use Twitte…
TRAP: using TaRgeted Ads to unveil Google personal Profiles
Mauro Conti, Vittoria Cozza, Marinella Petrocchi +1
In the last decade, the advertisement market spread significantly in the web and mobile app system. Its effectiveness is also due thanks to the possibility to target the advertisem…
Fame for sale: efficient detection of fake Twitter followers
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi +2
are those Twitter accounts specifically created to inflate the number of followers of a target account. Fake followers are dangerous for the social platfo…