Stefano Mizzaro

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 77

Top Venues

Publications

Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Gianluca Demartini, Stefano Mizzaro
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review. Inf. Process. Manag. 61 (2) (2024)
Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. ACM Trans. Inf. Syst. 42 (1) (2024)
Francesca Da Ros, Luca Di Gaspero, Kevin Roitero, David La Barbera, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent, Laura Deroma
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. J. Heal. Informatics Res. 8 (2) (2024)
Xia Zeng, David La Barbera, Kevin Roitero, Arkaitz Zubiaga, Stefano Mizzaro
Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection. SIGIR (2024)
David La Barbera, Eddy Maddalena, Michael Soprano, Kevin Roitero, Gianluca Demartini, Davide Ceolin, Damiano Spina, Stefano Mizzaro
Crowdsourced Fact-checking: Does It Actually Work? Inf. Process. Manag. 61 (5) (2024)
Gianluca Demartini, Kevin Roitero, Stefano Mizzaro
Data Bias Management. Commun. ACM 67 (1) (2024)
Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
Combining Human and Machine Confidence in Truthfulness Assessment. ACM J. Data Inf. Qual. 15 (1) (2023)
Enrique Amigó, Yashar Deldjoo, Stefano Mizzaro, Alejandro Bellogín
A unifying and general account of fairness measurement in recommender systems. Inf. Process. Manag. 60 (1) (2023)
Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Pers. Ubiquitous Comput. 27 (1) (2023)
Gianluca Demartini, Kevin Roitero, Stefano Mizzaro
Data Bias Management. CoRR (2023)
Michael Soprano, Kevin Roitero, Vincenzo Della Mea, Stefano Mizzaro
Towards a Conversational-Based Agent for Health Services. Ital-IA (2023)
Enrique Amigó, Julio Gonzalo, Stefano Mizzaro
What is My Problem? Identifying Formal Tasks and Metrics in Data Mining on the Basis of Measurement Theory. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Kevin Roitero, Beatrice Portelli, Giuseppe Serra, Vincenzo Della Mea, Stefano Mizzaro, Gianni Cerro, Michele Vitelli, Mario Molinara
Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access 11 (2023)
David La Barbera, Kevin Roitero, Stefano Mizzaro
Combining human intelligence and machine learning for fact-checking: Towards a hybrid human-in-the-loop framework. Intelligenza Artificiale 17 (2) (2023)
David La Barbera, Michael Soprano, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro
Fact-Checking at Scale with Crowdsourcing: Experiments and Lessons Learned. IIR (2023)
David La Barbera, Kevin Roitero, Joel Mackenzie, Damiano Spina, Gianluca Demartini, Stefano Mizzaro
BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval. CLEF (Working Notes) (2022)
Enrique Amigó, Stefano Mizzaro, Damiano Spina
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That. SIGIR (2022)
Kevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini
Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. WWW (2022)
David La Barbera, Kevin Roitero, Stefano Mizzaro
A Hybrid Human-In-The-Loop Framework for Fact Checking. NL4AI@AI*IA (2022)
Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. WSDM (2022)
Tim Draws, David La Barbera, Michael Soprano, Kevin Roitero, Davide Ceolin, Alessandro Checco, Stefano Mizzaro
The Effects of Crowd Worker Biases in Fact-Checking Tasks. FAccT (2022)
Sara Ceschia, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Luca Di Gaspero, Andrea Schaerf
Task design in complex crowdsourcing experiments: Item assignment optimization. Comput. Oper. Res. 148 (2022)
Kevin Roitero, Cristina Gattazzo, Andrea Zancola, Vincenzo Della Mea, Stefano Mizzaro
Causal Text-to-Text Transformers for Water Pollution Forecasting. AIABI@AI*IA (2022)
Enrique Amigó, Stefano Mizzaro, Damiano Spina
When Truncated Rankings Are Better and How to Measure That - Abstract. CIRCLE (2022)
Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19. CoRR (2021)
Yunke Qu, Kevin Roitero, Stefano Mizzaro, Damiano Spina, Gianluca Demartini
Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence. TTO (2021)
Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale. CoRR (2021)
Gianluca Demartini, Kevin Roitero, Stefano Mizzaro
Managing Bias in Human-Annotated Data: Moving Beyond Bias Removal. CoRR (2021)
Michael Soprano, Kevin Roitero, David La Barbera, Davide Ceolin, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. Inf. Process. Manag. 58 (6) (2021)
Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Falk Scholer
On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation. Inf. Process. Manag. 58 (6) (2021)
David La Barbera, Kevin Roitero, Stefano Mizzaro, Vincenzo Della Mea, Francesca Valent
A Software Simulator for Optimizing Ambulance Location and Response Time: A Preliminary Report. ICDH (2021)
Enrique Amigó, Stefano Mizzaro
On the nature of information access evaluation metrics: a unifying framework. Inf. Retr. J. 23 (3) (2020)
Enrique Amigó, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results. CoRR (2020)
David La Barbera, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina
Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias. ECIR (2) (2020)
Kevin Roitero, Cristian Bozzato, Vincenzo Della Mea, Stefano Mizzaro, Giuseppe Serra
Twitter goes to the Doctor: Detecting Medical Tweets using Machine Learning and BERT. SIIRH@ECIR (2020)
Enrique Amigó, Hui Fang, Stefano Mizzaro, Chengxiang Zhai
Axiomatic thinking for information retrieval: introduction to special issue. Inf. Retr. J. 23 (3) (2020)
Kevin Roitero, Andrea Brunello, Giuseppe Serra, Stefano Mizzaro
Effectiveness evaluation without human relevance judgments: A systematic analysis of existing methods and of their combinations. Inf. Process. Manag. 57 (2) (2020)
Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background. CoRR (2020)
Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CoRR (2020)
Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? CIKM (2020)
Kevin Roitero, J. Shane Culpepper, Mark Sanderson, Falk Scholer, Stefano Mizzaro
Fewer topics? A million topics? Both?! On topics subsets in test collections. Inf. Retr. J. 23 (1) (2020)
Gianluca Demartini, Stefano Mizzaro, Damiano Spina
Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities. IEEE Data Eng. Bull. 43 (3) (2020)
Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. SIGIR (2020)
Enrique Amigó, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results. ACL (2020)
Michael Soprano, Stefano Mizzaro
Crowdsourcing Peer Review: As We May Do. IRCDL (2019)
Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
Mobile Information Retrieval. CoRR (2019)
Kevin Roitero, Stefano Mizzaro, Michael Soprano
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models. IIR (2019)
Michael Soprano, Kevin Roitero, Stefano Mizzaro
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis. BIRNDL@SIGIR (2019)
Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. SIGIR (2019)
Stefano Mizzaro, Ivan Scagnetto
Mobile Search Behaviors: An In-Depth Analysis Based on Contexts, APPs, and Devices. Dan Wu and Shaobo Liang. Synthesis Lectures on Information Concepts, Retrieval, and Services. San Rafael, CA: Morgan & Claypool, 2018. J. Assoc. Inf. Sci. Technol. 70 (11) (2019)
Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini
On Transforming Relevance Scales. CIKM (2019)
Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro
Towards Stochastic Simulations of Relevance Profiles. CIKM (2019)
Eddy Maddalena, Davide Ceolin, Stefano Mizzaro
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing. CIKM Workshops (2018)
Enrique Amigó, Fernando Giner, Stefano Mizzaro, Damiano Spina
A Formal Account of Effectiveness Evaluation and Ranking Fusion. ICTIR (2018)
Stefano Mizzaro, Josiane Mothe, Kevin Roitero, Md Zia Ullah
Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin. SIGIR (2018)
Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing. CIKM Workshops (2018)
Kevin Roitero, Eddy Maddalena, Yannick Ponte, Stefano Mizzaro
IRevalOO: An Object Oriented Framework for Retrieval Evaluation. SIGIR (2018)
Kevin Roitero, Michael Soprano, Stefano Mizzaro
Effectiveness Evaluation with a Subset of Topics: A Practical Approach. SIGIR (2018)
Enrique Amigó, Fernando Giner, Stefano Mizzaro, Damiano Spina
A Formal Account of Effectiveness Evaluation and Ranking Fusion. CoRR (2018)
Kevin Roitero, Eddy Maddalena, Gianluca Demartini, Stefano Mizzaro
On Fine-Grained Relevance Scales. SIGIR (2018)
Kevin Roitero, Michael Soprano, Andrea Brunello, Stefano Mizzaro
Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation. ACM J. Data Inf. Qual. 10 (3) (2018)
Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai
Are we on the Right Track?: An Examination of Information Retrieval Methodologies. SIGIR (2018)
Kevin Roitero, Marco Passon, Giuseppe Serra, Stefano Mizzaro
Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance Judgments. ACM J. Data Inf. Qual. 10 (3) (2018)
Eddy Maddalena, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro
Considering Assessor Agreement in IR Evaluation. ICTIR (2017)
Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai
Axiomatic Thinking for Information Retrieval: And Related Tasks. SIGIR (2017)
Kevin Roitero, Stefano Mizzaro, Giuseppe Serra
Economic Evaluation of Recommender Systems: A Proposal. IIR (2017)
Eddy Maddalena, Stefano Mizzaro, Falk Scholer, Andrew Turpin
On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation. ACM Trans. Inf. Syst. 35 (3) (2017)
Adrian-Gabriel Chifu, Sébastien Déjean, Stefano Mizzaro, Josiane Mothe
Human-Based Query Difficulty Prediction. ECIR (2017)
Kevin Roitero, Eddy Maddalena, Stefano Mizzaro
Do Easy Topics Predict Effectiveness Better Than Difficult Topics? ECIR (2017)
Alessandro Checco, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini
Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. HCOMP (2017)
Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai
Report on the SIGIR 2017 Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks (ATIR). SIGIR Forum 51 (3) (2017)
Muhammad Helmy, Marco Basaldella, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini
Towards building a standard dataset for Arabic keyphrase extraction evaluation. IALP (2016)
Eddy Maddalena, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro, Gianluca Demartini
Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge. HCOMP (2016)
Stefano Mizzaro, Josiane Mothe
Why do you Think this Query is Difficult?: A User Study on Human Query Prediction. SIGIR (2016)
Kevin Roitero, Stefano Mizzaro
Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering? IIR (2016)
Marco Pavan, Stefano Mizzaro, Matteo Bernardon, Ivan Scagnetto
Exploiting News to Categorize Tweets: Quantifying the Impact of Different News Collections. NewsIR@ECIR (2016)
Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Jaana Kekäläinen, Paolo Rosso, Paul D. Clough, Gabriella Pasi, Christina Lioma, Stefano Mizzaro, Giorgio Maria Di Nunzio, Claudia Hauff, Omar Alonso, Pavel Serdyukov, Gianmaria Silvello
Report on ECIR 2016: 38th European Conference on Information Retrieval. SIGIR Forum 50 (1) (2016)
Stefano Mizzaro, Marco Pavan, Ivan Scagnetto
Content-Based Similarity of Twitter Users. ECIR (2015)
Timothy Jones, Falk Scholer, Andrew Turpin, Stefano Mizzaro, Mark Sanderson
Different Rankers on Different Subcollections. ECIR (2015)
Andrew Turpin, Falk Scholer, Stefano Mizzaro, Eddy Maddalena
The Benefits of Magnitude Estimation Relevance Assessments for Information Retrieval Evaluation. SIGIR (2015)
Enrique Amigó, Julio Gonzalo, Stefano Mizzaro
A Formal Approach to Effectiveness Metrics for Information Access: Retrieval, Filtering, and Clustering. ECIR (2015)
Vincenzo Della Mea, Eddy Maddalena, Stefano Mizzaro
Mobile crowdsourcing: four experiments on platforms and tasks. Distributed Parallel Databases 33 (1) (2015)
Marco Pavan, Stefano Mizzaro, Ivan Scagnetto, Andrea Beggiato
Finding Important Locations: A Feature-Based Approach. MDM (1) (2015)
Eddy Maddalena, Stefano Mizzaro, Falk Scholer, Andrew Turpin
Judging Relevance Using Magnitude Estimation. ECIR (2015)
Stefano De Sabbata, Stefano Mizzaro, Tumasch Reichenbacher
Geographic dimensions of relevance. J. Documentation 71 (4) (2015)
Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Martino Valenti
Short text categorization exploiting contextual enrichment and external knowledge. SoMeRA@SIGIR (2014)
Stefano Mizzaro, Ruihua Song
Preface. EVIA@NTCIR (2014)
Eddy Maddalena, Stefano Mizzaro
Axiometrics: Axioms of Information Retrieval Effectiveness Metrics. EVIA@NTCIR (2014)
Enrique Amigó, Julio Gonzalo, Stefano Mizzaro
A general account of effectiveness metrics for information tasks: retrieval, filtering, and clustering. SIGIR (2014)
Falk Scholer, Eddy Maddalena, Stefano Mizzaro, Andrew Turpin
Magnitudes of Relevance: Relevance Judgements, Magnitude Estimation, and Crowdsourcing. EVIA@NTCIR (2014)
Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Ivano Zanello
A context-aware retrieval system for mobile applications. CaRR@ECIR (2014)
Marco Pavan, Stefano Mizzaro, Ivan Scagnetto
Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach. DART@AI*IA (Revised and Invited Papers) (2014)
Eddy Maddalena, Stefano Mizzaro
Axiometrics: Axioms of Information Retrieval Effectiveness Metrics. AWC (2014)
Eddy Maddalena, Stefano Mizzaro
The Axiometrics Project. IIR (2014)
Timothy Jones, Andrew Turpin, Stefano Mizzaro, Falk Scholer, Mark Sanderson
Size and Source Matter: Understanding Inconsistencies in Test Collection-Based Evaluation. CIKM (2014)
J. Shane Culpepper, Stefano Mizzaro, Mark Sanderson, Falk Scholer
TREC: topic engineering exercise. SIGIR (2014)
Andrea Berto, Stefano Mizzaro, Stephen Robertson
On Using Fewer Topics in Information Retrieval Evaluations. ICTIR (2013)
Luca Busin, Stefano Mizzaro
Axiometrics: An Axiomatic Approach to Information Retrieval Effectiveness Metrics. ICTIR (2013)
Vincenzo Della Mea, Eddy Maddalena, Stefano Mizzaro
Crowdsourcing to Mobile Users: A Study of the Role of Platforms and Tasks. DBCrowd (2013)
Stefano Mizzaro, Luca Sartori, Giacomo Strangolino
Tag Clouds and Retrieved Results: The CloudCredo Mobile Clustering Engine and its Evaluation. IIR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefano Mizzaro