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Michael Soprano
Michael Soprano
Postdoctoral Research Fellow at the University of Udine
Verified email at uniud.it - Homepage
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
502020
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
392020
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
362021
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
202021
The effects of crowd worker biases in fact-checking tasks
T Draws, D La Barbera, M Soprano, K Roitero, D Ceolin, A Checco, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
172022
E-BART: Jointly Predicting and Explaining Truthfulness
B Erik, K Roitero, M Soprano, G Demartini
Proceedings of the Conference for Truth and Trust Online, 2021
9*2021
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
72018
Crowd_Frame: a simple and complete framework to deploy complex crowdsourcing tasks off-the-shelf
M Soprano, K Roitero, F Bombassei De Bona, S Mizzaro
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
62022
Assessing the Quality of Online Reviews Using Formal Argumentation Theory
D Ceolin, G Primiero, J Wielemaker, M Soprano
62021
A Neural Model to Jointly Predict and Explain Truthfulness of Statements
E Brand, K Roitero, M Soprano, A Rahimi, G Demartini
ACM Journal of Data and Information Quality 15 (1), 1-19, 2022
52022
Crowdsourcing Peer Review: As We May Do
M Soprano, S Mizzaro
Italian Research Conference on Digital Libraries, 259-273, 2019
52019
Transparent assessment of information quality of online reviews using formal argumentation theory
D Ceolin, G Primiero, M Soprano, J Wielemaker
Information Systems 110, 102107, 2022
42022
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
42018
How many crowd workers do i need? on statistical power when crowdsourcing relevance judgments
K Roitero, DL Barbera, M Soprano, G Demartini, S Mizzaro, T Sakai
ACM Transactions on Information Systems, 2023
22023
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.
M Soprano, K Roitero, S Mizzaro
BIRNDL@ SIGIR, 70-82, 2019
12019
Towards a Conversational-Based Agent for Health Services
M Soprano, K Roitero, V Della Mea, S Mizzaro
Proceedings of the Italia Intelligenza Artificiale-Thematic Workshops co …, 2023
2023
Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned
D La Barbera, M Soprano, K Roitero, E Maddalena, S Mizzaro
Proceedings of the 13th Italian Information Retrieval Workshop 3448, 85-90, 2023
2023
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
M Soprano, K Roitero, S Mizzaro
CEUR-WS, 2019
2019
Crowdsourcing Peer Review in the Digital Humanities?
M Soprano, S Mizzaro
AIUCD2019-Book of Abstracts, 2019
2019
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Articles 1–19