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 explore my PhD thesis (written in English), as well as my Master’s , Bachelor’s , and High School theses (written in Italian).
Due to their relatively low cost and ability to scale, crowdsourcing based approaches are widely used to collect a large amount of human annotated data. To this aim, multiple …
Recent work has demonstrated the viability of using crowdsourcing as a tool for evaluating the truthfulness of public statements. Under certain conditions such as: (1) having a …
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 …
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 …
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 …
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 …
Conference Talk - The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). October 19, 2020, Galway, Ireland (remote). Held remotely as a …
Conference Talk - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). July 27, 2020, Xi'an, China (remote). Held remotely …
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 …
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 …