Michael Soprano

40 papers A* 5A 2B 1Misc 1Journal 18Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Analyzing AI Evaluation Benchmarks Through Information Retrieval and Network Science. ECIR (2) Gaia Simeoni, Michael Soprano, Riccardo Lunardi, Kevin Roitero, Stefano Mizzaro
2026	—	`conf`	Large Language Models as Assessors: On the Impact of Relevance Scales. ECIR (2) Riccardo Zamolo, Riccardo Lunardi, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Kevin Roitero
2025	Misc	`conf`	AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews. ICTIR Michael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani, Gabriella Pasi, Stefano Mizzaro
2025	J	`jnl`	Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence. CoRR Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025	A*	`conf`	Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. SIGIR Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro
2025	—	`conf`	Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations. IRCDL Michael Soprano, Eddy Maddalena, Francesca Da Ros, Maria Elena Zuliani, Stefano Mizzaro
2025	J	`jnl`	In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation. CoRR Michael Soprano
2025	J	`jnl`	Large Language Models for Combinatorial Optimization: A Systematic Review. CoRR Francesca Da Ros, Michael Soprano, Luca Di Gaspero, Kevin Roitero
2025	A*	`conf`	PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare. SIGIR Riccardo Lunardi, Michael Soprano, Paolo Coppola, Vincenzo Della Mea, Stefano Mizzaro, Kevin Roitero
2025	—	`conf`	Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem. EvoApplications (2) Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Michael Soprano
2025	A*	`conf`	The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment. SIGIR Michael Soprano, Denis Eduard Tapu, David La Barbera, Kevin Roitero, Stefano Mizzaro
2024	J	`jnl`	Cognitive Biases in Fact-Checking and Their Countermeasures: A Review. Inf. Process. Manag. Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, Stefano Mizzaro
2024	J	`jnl`	Crowdsourced Fact-checking: Does It Actually Work? Inf. Process. Manag. David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, Stefano Mizzaro
2024	—	`conf`	Crowdsourcing Statement Classification to Enhance Information Quality Prediction. MISDOOM Jaspreet Singh, Michael Soprano, Kevin Roitero, Davide Ceolin
2024	—	`conf`	Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models. IIR Kevin Roitero, Michael Soprano, David La Barbera, Eddy Maddalena, Stefano Mizzaro
2024	J	`jnl`	How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. ACM Trans. Inf. Syst. Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai
2024	J	`jnl`	Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms. ACM Trans. Soc. Comput. Michael Soprano, Kevin Roitero, Ujwal Gadiraju, Eddy Maddalena, Gianluca Demartini
2024	J	`jnl`	Report on the 14th Italian Information Retrieval Workshop (IIR 2024). SIGIR Forum Eddy Maddalena, Stefano Mizzaro, Kevin Roitero, Marco Viviani, David La Barbera, Sandip Modha, Gabriella Pasi, Francesca Da Ros, Michael Soprano
2024	J	`jnl`	Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher. SIGIR Forum 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
2023	J	`jnl`	A Neural Model to Jointly Predict and Explain Truthfulness of Statements. ACM J. Data Inf. Qual. Erik Brand, Kevin Roitero, Michael Soprano, Afshin Rahimi, Gianluca Demartini
2023	J	`jnl`	Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Pers. Ubiquitous Comput. Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
2023	—	`conf`	Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned. IIR David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro
2023	—	`conf`	Towards a Conversational-Based Agent for Health Services. Ital-IA Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro
2022	A	`conf`	Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. WSDM Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro
2022	—	`conf`	The Effects of Crowd Worker Biases in Fact-Checking Tasks. FAccT Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro
2022	J	`jnl`	Transparent assessment of information quality of online reviews using formal argumentation theory. Inf. Syst. Davide Ceolin, Giuseppe Primiero, Michael Soprano, Jan Wielemaker
2021	B	`conf`	Assessing the Quality of Online Reviews Using Formal Argumentation Theory. ICWE Davide Ceolin, Giuseppe Primiero, Jan Wielemaker, Michael Soprano
2021	J	`jnl`	Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19. CoRR Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
2021	—	`conf`	E-BART: Jointly Predicting and Explaining Truthfulness. TTO Erik Brand, Kevin Roitero, Michael Soprano, Gianluca Demartini
2021	J	`jnl`	The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale. CoRR Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
2021	J	`jnl`	The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. Inf. Process. Manag. Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
2020	J	`jnl`	Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background. CoRR Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
2020	A*	`conf`	Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. SIGIR Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
2020	A	`conf`	The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CIKM Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
2020	J	`jnl`	The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CoRR Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
2019	—	`conf`	Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models. IIR Kevin Roitero, Stefano Mizzaro, Michael Soprano
2019	—	`conf`	Crowdsourcing Peer Review: As We May Do. IRCDL Michael Soprano, Stefano Mizzaro
2019	—	`conf`	HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis. BIRNDL@SIGIR Michael Soprano, Kevin Roitero, Stefano Mizzaro
2018	A*	`conf`	Effectiveness Evaluation with a Subset of Topics: A Practical Approach. SIGIR Kevin Roitero, Michael Soprano, Stefano Mizzaro
2018	J	`jnl`	Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation. ACM J. Data Inf. Qual. Kevin Roitero, Michael Soprano, Andrea Brunello, Stefano Mizzaro