Michael Soprano
Title
Cited by
Cited by
Year
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
K Roitero, M Soprano, S Fan, D Spina, S Mizzaro, G Demartini
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
142020
The covid-19 infodemic: Can the crowd judge recent misinformation objectively?
K Roitero, M Soprano, B Portelli, D Spina, V Della Mea, G Serra, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
122020
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation
K Roitero, M Soprano, A Brunello, S Mizzaro
Journal of Data and Information Quality (JDIQ) 10 (3), 1-21, 2018
42018
Crowdsourcing Peer Review: As We May Do
M Soprano, S Mizzaro
Italian Research Conference on Digital Libraries, 259-273, 2019
32019
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale
M Soprano, K Roitero, D La Barbera, D Ceolin, D Spina, S Mizzaro, ...
Information Processing & Management 58 (6), 102710, 2021
22021
Effectiveness evaluation with a subset of topics: A practical approach
K Roitero, M Soprano, S Mizzaro
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
22018
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
K Roitero, M Soprano, B Portelli, M De Luise, D Spina, VD Mea, G Serra, ...
Personal and Ubiquitous Computing, 1-31, 2021
12021
Assessing the Quality of Online Reviews Using Formal Argumentation Theory
D Ceolin, G Primiero, J Wielemaker, M Soprano
12021
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.
M Soprano, K Roitero, S Mizzaro
BIRNDL@ SIGIR, 70-82, 2019
12019
Crowdsourcing Peer Review in the Digital Humanities?
M Soprano, S Mizzaro
2019
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
M Soprano, K Roitero, S Mizzaro
2019
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Articles 1–11