4 citations · 6 across the 6 of their papers we have counts for
7 papers
Statistical Detectability of Coordination
Letizia Iannucci, Antonis Matakos, Mikko Kivelä
Information operations exploit coordinated activity on social media to amplify messages and manipulate public discourse. A common approach to coordination detection is to project a…
Social Media Data Toolkit: Standardization and Anonymization of Social Network Datasets
Ali Najafi, Letizia Iannucci, Mikko Kivelä +1
The rapid diversification of social media platforms and the increasing restrictions on official APIs have significantly complicated cross-platform analysis. Researchers are often f…
A Bell experiment during inflation: probing quantum entanglement in tensor fluctuations through correlations of primordial scalar curvature perturbations
Pablo Tejerina-Pérez, Leonid Sarieddine, Daniele Bertacca +1
We propose a method that provides an observational signature of the quantum origin of primordial fluctuations generated during inflation. The method gives a prescription for testin…
Detecting Coordinated Activities Through Temporal, Multiplex, and Collaborative Analysis
Letizia Iannucci, Elisa Muratore, Antonis Matakos +1
In the era of widespread online content consumption, effective detection of coordinated efforts is crucial for mitigating potential threats arising from information manipulation. D…
Politics and polarization on Bluesky
Ali Salloum, Dorian Quelle, Letizia Iannucci +2
Online political discourse is increasingly shaped not by a few dominant platforms but by a fragmented ecosystem of social media spaces, each with its own user base, target audience…
Multiway Alignment of Political Attitudes
Letizia Iannucci, Ali Faqeeh, Ali Salloum +2
The related concepts of partisan belief systems, issue alignment, and partisan sorting are central to our understanding of politics. These phenomena have been studied using measure…
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
Alexander Nikitin, Letizia Iannucci, Samuel Kaski
Temporally indexed data are essential in a wide range of fields and of interest to machine learning researchers. Time series data, however, are often scarce or highly sensitive, wh…