E-BART: Jointly Predicting and Explaining Truthfulness
Automated fact-checking (AFC) systems exist to combat disinformation, however their complexity makes them opaque to the end user, making it difficult to foster trust. In this …
erik-brand
Michael Soprano
Postdoctoral Researcher
Welcome to my personal webpage. I am a Researcher at the University of Udine and a member of the Social, Mobile, Data & Crowd Laboratory. I hold a PhD in Computer Science and Mathematical and Physical Sciences.
My research interests include Human Computation, Crowdsourcing, Information Retrieval, and Large Language Models. My current work focuses in particular on the use of crowdsourcing to address the growing challenge of misinformation.
You can download my Curriculum Vitae in English or Italian. You can also explore my PhD thesis, together with my Master’s, Bachelor’s, and High School theses.
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Can The Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation About COVID-19
Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a few experts, a crowd …
kevin-roitero
Assessing the Quality of Online Reviews Using Formal Argumentation Theory
Review scores collect users opinions in a simple and intuitive manner. However, review scores are also easily manipulable, hence they are often accompanied by explanations. A …
davide-ceolin
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large. Very recently, the problem has …
kevin-roitero
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Conference Talk - The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). October 19, 2020, Galway, Ireland (remote). Held remotely as a …
kevin-roitero
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor’s Background
Conference Talk - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). July 25, 2020, Xi'an, China (remote). Held remotely …
kevin-roitero
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true …
kevin-roitero
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
Information retrieval effectiveness evaluation is often carried out by means of test collections. Many works investigated possible sources of bias in such an approach. We propose a …
Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Model
Workshop Talk - Italian Information Retrieval Workshop (IIR 2019). September 16, 2019, Padua, Italy.
HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis
Peer review is a well known mechanism exploited within the scholarly publishing process to ensure the quality of scientific literature. Such a mechanism, despite being well …