Towards a Conversational-Based Agent for Health Services
Conversational agents provide new modalities to access and interact with services and applications. Recently, they saw a backfire in their popularity, due to the recent …
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.
Fact-Checking at Scale with Crowdsourcing Experiments and Lessons Learned
In this paper, we present our journey in exploring the use of crowdsourcing for fact-checking. We discuss our early experiments aimed towards the identification of the best …
david-la-barbera
Towards a Conversational-Based Agent for Health Services
Workshop Talk - Workshop “AI for Public Administration”, held as part of the 3rd National CINI Conference on Artificial Intelligence (Ital-IA 2023). May 29, 2023, Pisa, Italy.
How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments
To scale the size of Information Retrieval collections, crowdsourcing has become a common way to collect relevance judgments at scale. Crowdsourcing experiments usually employ …
kevin-roitero
Transparent assessment of information 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
A Neural Model to Jointly Predict and Explain Truthfulness of Statements
Automated fact-checking (AFC) systems exist to combat disinformation, however their complexity usually makes them opaque to the end user, making it difficult to foster trust in the …
erik-brand
The Effects of Crowd Worker Biases in Fact-Checking Tasks
Due to the increasing amount of information shared online every day, the need for sound and reliable ways of distinguishing between trustworthy and non-trustworthy information is …
tim-draws
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-Shelf
Conference Talk - The 15th ACM International Conference on Web Search and Data Mining (WSDM 2022). February 23, 2022, Phoenix, U.S.A. (remote). Held remotely as a pre-recorded …
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-Shelf
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 …
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
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 …