Publications

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models
Kevin Roitero, Michael Soprano, David La Barbera, Eddy Maddalena, Stefano Mizzaro
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Crowdsourcing Statement Classification to Enhance Information Quality Prediction
Jaspreet Singh, Michael Soprano, Kevin Roitero, Davide Ceolin
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Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms
Michael Soprano, Kevin Roitero, Ujwal Gadiraju, Eddy Maddalena, Gianluca Demartini
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Crowdsourced Fact-checking: Does It Actually Work?
David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, Stefano Mizzaro
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Cognitive Biases in Fact-Checking and Their Countermeasures: A Review
Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, Stefano Mizzaro
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Towards a Conversational-Based Agent for Health Services
Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro
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Fact-Checking at Scale with Crowdsourcing Experiments and Lessons Learned
David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro
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How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments
Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai
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Transparent assessment of information quality of online reviews using formal argumentation theory
Davide Ceolin, Giuseppe Primiero, Michael Soprano, Jan Wielemaker
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A Neural Model to Jointly Predict and Explain Truthfulness of Statements
Erik Brand, Kevin Roitero, Michael Soprano, Afshin Rahimi, Gianluca Demartini
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The Effects of Crowd Worker Biases in Fact-Checking Tasks
Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro
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Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-Shelf
Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro
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The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro
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E-BART: Jointly Predicting and Explaining Truthfulness
Erik Brand, Kevin Roitero, Michael Soprano, Gianluca Demartini
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Can The Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation About COVID-19
Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
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Assessing the Quality of Online Reviews Using Formal Argumentation Theory
Davide Ceolin, Giuseppe Primiero, Jan Wielemaker, Michael Soprano
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The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
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Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
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Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
Michael Soprano, Kevin Roitero, Stefano Mizzaro
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HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis
Michael Soprano, Kevin Roitero, Stefano Mizzaro
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Crowdsourcing Peer Review: As We May Do
Michael Soprano, Stefano Mizzaro
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Crowdsourcing Peer Review in the Digital Humanities?
Michael Soprano, Stefano Mizzaro
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Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation
Kevin Roitero, Michael Soprano, Andrea Brunello, Stefano Mizzaro
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Effectiveness Evaluation with a Subset of Topics: A Practical Approach
Kevin Roitero, Michael Soprano, Stefano Mizzaro
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