SOPRANO, MICHAEL

SOPRANO, MICHAEL  

DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.041 secondi).
Titolo Data di pubblicazione Autore(i) File
A Neural Model to Jointly Predict and Explain Truthfulness of Statements 1-gen-2022 Brand, Erik; Roitero, Kevin; Soprano, Michael; Rahimi, Afshin; Demartini, Gianluca
Assessing the Quality of Online Reviews Using Formal Argumentation Theory 1-gen-2021 Ceolin, D.; Primiero, G.; Wielemaker, J.; Soprano, M.
Bias and fairness in effectiveness evaluation by means of network analysis and mixture models 1-gen-2019 Soprano, M.; Roitero, K.; Mizzaro, S.
Can the Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background 1-gen-2020 Roitero, K.; Soprano, M.; Fan, S.; Spina, D.; Mizzaro, S.; Demartini, G.
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19 1-gen-2021 Roitero, K.; Soprano, M.; Portelli, B.; De Luise, M.; Spina, D.; Della Mea, V.; Serra, G.; Mizzaro, S.; Demartini, G.
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review 1-gen-2024 Soprano, Michael; Roitero, Kevin; LA BARBERA, David; Ceolin, Davide; Spina, Damiano; Demartini, Gianluca; Mizzaro, Stefano
Crowd_Frame: a Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf 1-gen-2022 Soprano, Michael; Roitero, Kevin; Bombassei De Bona, Francesco; Mizzaro, Stefano
Crowdsourcing Peer Review in the Digital Humanities? 1-gen-2019 Soprano, Michael; Mizzaro, Stefano
Crowdsourcing Peer Review: As We May Do 1-gen-2019 Soprano, Michael; Mizzaro, Stefano
E-BART: Jointly Predicting and Explaining Truthfulness 1-gen-2021 Brand, Erik; Roitero, Kevin; Soprano, Michael; Demartini, Gianluca
Effectiveness evaluation with a subset of topics: A practical approach 1-gen-2018 Roitero, Kevin; Soprano, Michael; Mizzaro, Stefano
Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned 1-gen-2023 LA BARBERA, David; Soprano, Michael; Roitero, Kevin; Maddalena, Eddy; Mizzaro, Stefano
HITS hits readersourcing: Validating peer review alternatives using network analysis 1-gen-2019 Soprano, M.; Roitero, K.; Mizzaro, S.
How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments 1-gen-2023 Roitero, Kevin; LA BARBERA, David; Soprano, Michael; Demartini, Gianluca; Mizzaro, Stefano; Sakai, Tetsuya
In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation 22-mag-2023 Soprano, Michael
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation 1-gen-2018 Roitero, Kevin; Soprano, Michael; Brunello, Andrea; Mizzaro, Stefano
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? 1-gen-2020 Roitero, Kevin; Soprano, Michael; Portelli, Beatrice; Spina, Damiano; DELLA MEA, Vincenzo; Serra, Giuseppe; Mizzaro, Stefano; Demartini, Gianluca
The Effects of Crowd Worker Biases in Fact-Checking Tasks 1-gen-2022 Draws, Tim; LA BARBERA, David; Soprano, Michael; Roitero, Kevin; Ceolin, Davide; Checco, Alessandro; Mizzaro, Stefano
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale 1-gen-2021 Soprano, M.; Roitero, K.; La Barbera, D.; Ceolin, D.; Spina, D.; Mizzaro, S.; Demartini, G.
Towards a Conversational-Based Agent for Health Services 1-gen-2023 Soprano, Michael; Roitero, Kevin; DELLA MEA, Vincenzo; Mizzaro, Stefano