Welcome to my personal webpage. I am a Researcher at the University of Udine and a member of the Social, Mobile, Data & Crowd Laboratory . I hold a PhD in Computer Science and Mathematical and Physical Sciences.
My research interests include Human Computation, Crowdsourcing, Information Retrieval, and Large Language Models. My current work focuses in particular on the use of crowdsourcing to address the growing challenge of misinformation.
You can explore my PhD thesis (written in English), as well as my Master’s , Bachelor’s , and High School theses (written in Italian).
This paper presents an agent-based model for interacting with regional healthcare system services in the Friuli-Venezia Giulia (FVG) region. The model is designed to streamline and …
We investigate solution methods for the Oven Scheduling Problem (OSP), a parallel batch scheduling optimization problem in semiconductor manufacturing, using Search Trajectory …
The scholarly publishing process relies on peer review to uphold the quality of scientific knowledge. However, challenges such as increasing submission volumes and potential …
Conference Talk - 21st Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL 2025). February 20, 2025, Udine, Italy.
While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work. …
IIR 2024, the 14th Italian Information Retrieval Workshop, served as the annual event for the IR and RS communities both in Italy and collaborating with Italian research …
This extended abstract presents results from two recent studies aimed at enhancing the practical application and effectiveness of fact-checking systems. The first study …
Demo Presentation - The 3rd Italian Conference on Big Data and Data Science (ITADATA 2024). September 17, 2024, Pisa, Italy.
This paper explores the use of crowdsourcing to classify statement types in film reviews to assess their information quality. Employing the Argument Type Identification Procedure …
Crowdsourcing tasks have been widely used to collect a large number of human labels at scale. While some of these tasks are deployed by requesters and performed only once by crowd …