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).

Large Language Models for Combinatorial Optimization: A Systematic Review

This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our findings using the Preferred Reporting Items for …

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A Caccia di Fake News (PCTO Summer Camp 2025)

School outreach seminar - PCTO Summer Camp Informatica & Intelligenza Artificiale 2025, University of Udine.

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Michael Soprano
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AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews

Poster - The 15th International Conference on Innovative Concepts and Theories in Information Retrieval. Padua, Italy.

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Michael Soprano
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AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews

Scientific publishing is expanding rapidly across disciplines, making it increasingly difficult for researchers to organize, filter, and synthesize the literature. Systematic …

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Michael Soprano
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The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment

Conference Talk - The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. Padua, Italy.

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Michael Soprano
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The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment

Assessing the truthfulness of information is a critical task in fact-checking and is typically performed using binary or coarse ordinal scales (2–6 levels), though fine-grained …

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Michael Soprano
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PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare

Patient Information Leaflets (PILs) provide essential information about medication usage, side effects, precautions, and interactions, making them a valuable resource for Question …

riccardo-lunardi
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Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking

Evaluating the truthfulness of online content is critical for combating misinformation. This study examines the efficiency and effectiveness of crowdsourced truthfulness …

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AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews

Workshop Talk - Workshop “AI, Misinformation and Disinformation”, held as part of the 5th National CINI Conference on Artificial Intelligence (Ital-IA 2025). June 23, 2025, …

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Michael Soprano
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In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation

The spread of online misinformation poses serious threats to democratic societies. Traditionally, expert fact-checkers verify the truthfulness of information through investigative …

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Michael Soprano
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