About
Hi, I’m Federico, a Ph.D. candidate in Data Science at Sapienza University, Rome, and a researcher at the CENTAI Institute. My research focuses on modeling, detecting, and mitigating harmful phenomena on social media, including polarization, echo chambers, and coordinated campaigns.
Currently, I’m exploring innovative methods to fine-tune large language models (LLMs) using social reinforcement learning, where reward mechanisms are influenced by stochastic dynamic processes on graphs. My work also investigates how LLMs leverage internal concepts for unsupervised tasks, optimize opinion dynamics within the FJ model, and detect coordinated inauthentic behavior across multiple platforms.
🎓 Exciting news—I’m set to graduate in May 2025!
Latest News
February 2025
- 📄 New Preprint: Minimizing Polarization and Disagreement in the Friedkin-Johnsen Model with Unknown Innate Opinions. Read it here.
- 📄 New Preprint: On the Inference of Sociodemographics on Reddit. Check it out here.
January 2025
- 🎉 Accepted at The Web Conf 2025! Our paper Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election has been accepted! Read the preprint here.
December 2024
- 🎓 I'm happy to be reviewing papers for The Web Conference 2025.
- 📄 New Preprint: We've just published a preprint exploring how large language models can generate content optimized for user engagement using "social" reinforcement learning and opinion dynamics. Check it out here. </li> </ul> </div>