Michael Soprano

According to our database, Michael Soprano authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 2024

2023

A Neural Model to Jointly Predict and Explain Truthfulness of Statements.

Erik Brand, Kevin Roitero, Michael Soprano, Afshin Rahimi, Gianluca Demartini

ACM J. Data Inf. Qual., March, 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, Stefano Mizzaro, Gianluca Demartini

Pers. Ubiquitous Comput., 2023

Towards a Conversational-Based Agent for Health Services.

Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro

Proceedings of the Italia Intelligenza Artificiale, 2023

Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned.

David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

2022

Transparent assessment of information quality of online reviews using formal argumentation theory.

Davide Ceolin, Giuseppe Primiero, Michael Soprano, Jan Wielemaker

Inf. Syst., 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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

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

E-BART: Jointly Predicting and Explaining Truthfulness.

Erik Brand, Kevin Roitero, Michael Soprano, Gianluca Demartini

Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), 2021

Assessing the Quality of Online Reviews Using Formal Argumentation Theory.

Davide Ceolin, Giuseppe Primiero, Jan Wielemaker, Michael Soprano

Proceedings of the Web Engineering - 21st International Conference, 2021

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

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.

Michael Soprano, Kevin Roitero, Stefano Mizzaro

Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019

Crowdsourcing Peer Review: As We May Do.

Michael Soprano, Stefano Mizzaro

Proceedings of the Digital Libraries: Supporting Open Science, 2019

Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models.

Kevin Roitero, Stefano Mizzaro, Michael Soprano

Proceedings of the 10th Italian Information Retrieval Workshop, 2019

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

Effectiveness Evaluation with a Subset of Topics: A Practical Approach.

Kevin Roitero, Michael Soprano, Stefano Mizzaro

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018