Michael Soprano

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.

Crowdsourced Fact-Checking for Misinformation: A Journey Through Nine Years of Research (2018–2026) featured image

Crowdsourced Fact-Checking for Misinformation: A Journey Through Nine Years of Research (2018–2026)

Workshop Talk - Workshop "AI and Disinformation", held as part of the 6th National CINI Conference on Artificial Intelligence (Ital-IA 2026). June 18, 2026, Rome, Italy.

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Michael Soprano
Crowdsourced Keypoint Matching for Region of Interest Identification in Cross-Stain Whole Slide Image Registration featured image

Crowdsourced Keypoint Matching for Region of Interest Identification in Cross-Stain Whole Slide Image Registration

Poster - 22nd European Congress on Digital Pathology (ECDP 2026). June 18, 2026, Graz, Austria.

alessio-fiorin

Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes

Deepfakes are increasingly realistic and easy to produce, raising concerns about the reliability of human judgments in misinformation settings. We study audiovisual deepfake …

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Michael Soprano
Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes featured image

Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes

Workshop Talk - The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2026), held as part of The 48th European Conference on Information …

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Michael Soprano
Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science featured image

Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science

Poster - The 48th European Conference on Information Retrieval (ECIR 2026). Delft, The Netherlands.

gaia-simeoni
Large Language Models as Assessors: On the Impact of Relevance Scales featured image

Large Language Models as Assessors: On the Impact of Relevance Scales

Poster - The 48th European Conference on Information Retrieval (ECIR 2026). Delft, The Netherlands.

riccardo-zamolo

Large Language Models as Assessors: On the Impact of Relevance Scales

Traditionally, relevance judgments have relied on human annotators, but recent advances in Large Language Models (LLMs) have prompted growing interest in their use as a proxy for …

riccardo-zamolo

Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science

Many analyses have been performed on Information Retrieval (IR) evaluation benchmarks. Benchmarking also plays a central role in evaluating the capabilities of Large Language …

gaia-simeoni

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

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