Michael Soprano

Michael Soprano

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 explore my PhD thesis (written in English), as well as my Master’s , Bachelor’s , and High School theses (written in Italian).

Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem

We investigate solution methods for the Oven Scheduling Problem (OSP), a parallel batch scheduling optimization problem in semiconductor manufacturing, using Search Trajectory …

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Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations

The scholarly publishing process relies on peer review to uphold the quality of scientific knowledge. However, challenges such as increasing submission volumes and potential …

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Michael Soprano
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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.

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Michael Soprano

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 …

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Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models

This extended abstract presents results from two recent studies aimed at enhancing the practical application and effectiveness of fact-checking systems. The first study …

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Deploying Complex Crowdsourcing Tasks Without Fear: An Introduction to Crowd_Frame featured image

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.

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Michael Soprano

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 …

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Michael Soprano

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 …

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