Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes Michael Soprano, Andrea Cioci, Stefano Mizzaro
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DOI Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science Gaia Simeoni, Michael Soprano, Riccardo Lunardi, Kevin Roitero, Stefano Mizzaro
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DOI Large Language Models as Assessors: On the Impact of Relevance Scales Riccardo Zamolo, Riccardo Lunardi, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Kevin Roitero
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DOI Large Language Models for Combinatorial Optimization: A Systematic Review Francesca Da Ros, Michael Soprano, Luca Di Gaspero, Kevin Roitero
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DOI AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews Michael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani, Gabriella Pasi, Stefano Mizzaro
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DOI Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
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DOI PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare Riccardo Lunardi, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero
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DOI The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment Michael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro
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DOI In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation Michael Soprano
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DOI Agent-Based Healthcare Chatbots for Regional System Services: A Case Study in the Friuli-Venezia Giulia Region Riccardo Lunardi, Kevin Roitero, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro
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DOI Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Michael Soprano
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DOI Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations Michael Soprano, Eddy Maddalena, Francesca Da Ros, Maria Elena Zuliani, Stefano Mizzaro
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Cite Report on the 14th Italian Information Retrieval Workshop (IIR 2024) Eddy Maddalena, Stefano Mizzaro, Kevin Roitero, Marco Viviani, David La Barbera, Sandip Modha, Gabriella Pasi, Francesca Da Ros, Michael Soprano
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DOI Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher Damiano Spina, Kevin Roitero, Stefano Mizzaro, Vincenzo Della Mea, Francesca Da Ros, Michael Soprano, Hafsa Akebli, Alex Falcon, Mehdi Fasihi, Alessio Fiorin, David La Barbera, Daniele Lizzio Bosco, Riccardo Lunardi, Alberto Marturano, Zaka-Ud-Din Muhammad, Francesco Nascimben, Moritz Nottebaum, Massimiliano Pascoli, Mihai Horia Popescu, Laura Rasotto, Mubashara Rehman, Francesco Taverna, Biagio Tomasetig, Alessandro Tremamunno
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DOI 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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Cite Crowdsourcing Statement Classification to Enhance Information Quality Prediction Jaspreet Singh, Michael Soprano, Kevin Roitero, Davide Ceolin
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DOI 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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DOI 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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DOI 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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DOI Towards a Conversational-Based Agent for Health Services Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro
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Cite 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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Cite 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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DOI Transparent assessment of information quality of online reviews using formal argumentation theory Davide Ceolin, Giuseppe Primiero, Michael Soprano, Jan Wielemaker
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DOI 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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DOI 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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DOI 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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DOI 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, Gianluca Demartini
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DOI E-BART: Jointly Predicting and Explaining Truthfulness Erik Brand, Kevin Roitero, Michael Soprano, Gianluca Demartini
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Cite Can The Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation About COVID-19 Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
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DOI Assessing the Quality of Online Reviews Using Formal Argumentation Theory Davide Ceolin, Giuseppe Primiero, Jan Wielemaker, Michael Soprano
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DOI 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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DOI 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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DOI Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models Michael Soprano, Kevin Roitero, Stefano Mizzaro
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Cite HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis Michael Soprano, Kevin Roitero, Stefano Mizzaro
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Cite Crowdsourcing Peer Review: As We May Do Michael Soprano, Stefano Mizzaro
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DOI Crowdsourcing Peer Review in the Digital Humanities? Michael Soprano, Stefano Mizzaro
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Cite 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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DOI Effectiveness Evaluation with a Subset of Topics: A Practical Approach Kevin Roitero, Michael Soprano, Stefano Mizzaro
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