Publications

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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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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