Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations
Conference Talk - 21st Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL 2025). February 20, 2025, Udine, Italy.
Michael Soprano
Postdoctoral Researcher
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 download my Curriculum Vitae in English or Italian. You can also explore my PhD thesis, together with my Master’s, Bachelor’s, and High School theses.
Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher
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. …
damiano-spina
Report on the 14th Italian Information Retrieval Workshop (IIR 2024)
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 …
eddy-maddalena
Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models
Information retrieval effectiveness evaluation is often carried out by means of test collections. Many works investigated possible sources of bias in such an approach. We propose a …
kevin-roitero
Deploying Complex Crowdsourcing Tasks Without Fear: An Introduction to Crowd_Frame
Demo Presentation - The 3rd Italian Conference on Big Data and Data Science (ITADATA 2024). September 17, 2024, Pisa, Italy.
Crowdsourcing Statement Classification to Enhance Information Quality Prediction
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 …
jaspreet-singh
Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms
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 …
Crowdsourced Fact-checking: Does It Actually Work?
There is an important ongoing effort aimed to tackle misinformation and to perform reliable fact-checking by employing human assessors at scale, with a crowdsourcing-based …
david-la-barbera
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review
The increase of the amount of misinformation spread every day online is a huge threat to the society. Organizations and researchers are working to contrast this misinformation …
Towards a Conversational-Based Agent for Healthcare
Workshop Talk - CARE: Conversational Agents and Responsible Ethics in Healthcare Workshop, held as part of the European Federation of Medical Informatics Special Topic Conference …