Effectiveness Evaluation with a Subset of Topics: A Practical Approach. - Kevin Roitero; Michael Soprano; Stefano Mizzaro (SIGIR, 2018)

Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation. - Kevin Roitero; Michael Soprano; Andrea Brunello; Stefano Mizzaro (ACM J. Data Inf. Qual., 2018)

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models. - Kevin Roitero; Stefano Mizzaro; Michael Soprano (IIR, 2019)

Crowdsourcing Peer Review: As We May Do. - Michael Soprano; Stefano Mizzaro (IRCDL, 2019)

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis. - Michael Soprano; Kevin Roitero; Stefano Mizzaro (BIRNDL@SIGIR, 2019)

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? - Kevin Roitero; Michael Soprano; Beatrice Portelli; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra 001; Stefano Mizzaro; Gianluca Demartini (CIKM, 2020)

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 (SIGIR, 2020)

Assessing the Quality of Online Reviews Using Formal Argumentation Theory. - Davide Ceolin; Giuseppe Primiero; Jan Wielemaker; Michael Soprano (ICWE, 2021)

E-BART: Jointly Predicting and Explaining Truthfulness. - Erik Brand; Kevin Roitero; Michael Soprano; Gianluca Demartini (TTO, 2021)

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 (Inf. Process. Manag., 2021)

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 (FAccT, 2022)

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 (WSDM, 2022)

Transparent assessment of information quality of online reviews using formal argumentation theory. - Davide Ceolin; Giuseppe Primiero; Michael Soprano; Jan Wielemaker (Inf. Syst., 2022)

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned. - David La Barbera; Michael Soprano; Kevin Roitero; Eddy Maddalena; Stefano Mizzaro (IIR, 2023)

Towards a Conversational-Based Agent for Health Services. - Michael Soprano; Kevin Roitero; Vincenzo Della Mea; Stefano Mizzaro (Ital-IA, 2023)

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 001; Stefano Mizzaro; Gianluca Demartini (Pers. Ubiquitous Comput., 2023)

A Neural Model to Jointly Predict and Explain Truthfulness of Statements. - Erik Brand; Kevin Roitero; Michael Soprano; Afshin Rahimi 001; Gianluca Demartini (ACM J. Data Inf. Qual., 2023)

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models. - Kevin Roitero; Michael Soprano; David La Barbera; Eddy Maddalena; Stefano Mizzaro (IIR, 2024)

Crowdsourcing Statement Classification to Enhance Information Quality Prediction. - Jaspreet Singh; Michael Soprano; Kevin Roitero; Davide Ceolin (MISDOOM, 2024)

Crowdsourced Fact-checking: Does It Actually Work? - David La Barbera; Eddy Maddalena; Michael Soprano; Kevin Roitero; Gianluca Demartini; Davide Ceolin; Damiano Spina; Stefano Mizzaro (Inf. Process. Manag., 2024)

Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms. - Michael Soprano; Kevin Roitero; Ujwal Gadiraju; Eddy Maddalena; Gianluca Demartini (ACM Trans. Soc. Comput., 2024)

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 (ACM Trans. Inf. Syst., 2024)

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 (Inf. Process. Manag., 2024)

Report on the 14th Italian Information Retrieval Workshop (IIR 2024). - Eddy Maddalena; Stefano Mizzaro; Kevin Roitero; Marco Viviani 001; David La Barbera; Sandip Modha; Gabriella Pasi; Francesca Da Ros; Michael Soprano (SIGIR Forum, 2024)

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; et al. (SIGIR Forum, 2024)

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 (EvoApplications (2), 2025)

Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations. - Michael Soprano; Eddy Maddalena; Francesca Da Ros; Maria Elena Zuliani; Stefano Mizzaro (IRCDL, 2025)

PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare. - Riccardo Lunardi; Michael Soprano; Paolo Coppola 001; Vincenzo Della Mea; Stefano Mizzaro; Kevin Roitero (SIGIR, 2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (SIGIR, 2025)

The Magnitude of Truth: On Using Magnitude Estimation for Truthfulness Assessment. - Michael Soprano; Denis Eduard Tapu; David La Barbera; Kevin Roitero; Stefano Mizzaro (SIGIR, 2025)

Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence. - Kevin Roitero; Dustin Wright 001; Michael Soprano; Isabelle Augenstein; Stefano Mizzaro (CoRR, 2025)

In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation. - Michael Soprano (CoRR, 2025)

Large Language Models for Combinatorial Optimization: A Systematic Review. - Francesca Da Ros; Michael Soprano; Luca Di Gaspero; Kevin Roitero (CoRR, 2025)