Segui
Michael Soprano
Michael Soprano
PhD Student, University of Udine
Email verificata su uniud.it - Home page
Titolo
Citata da
Citata da
Anno
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
412020
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
322020
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
232021
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
122021
E-BART: Jointly Predicting and Explaining Truthfulness.
E Brand, K Roitero, M Soprano, G Demartini
TTO, 18-27, 2021
52021
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
52018
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
42022
Crowdsourcing Peer Review: As We May Do
M Soprano, S Mizzaro
Italian Research Conference on Digital Libraries, 259-273, 2019
42019
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
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
3*2022
The effects of crowd worker biases in fact-checking tasks
T Draws, D La Barbera, M Soprano, K Roitero, D Ceolin, A Checco, ...
2022 ACM Conference on Fairness, Accountability, and Transparency, 2114-2124, 2022
32022
Assessing the Quality of Online Reviews Using Formal Argumentation Theory
D Ceolin, G Primiero, J Wielemaker, M Soprano
32021
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis.
M Soprano, K Roitero, S Mizzaro
BIRNDL@ SIGIR, 70-82, 2019
12019
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
2022
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–16