Cognitive Biases in Fact-Checking and Their Countermeasures: A Review
The increase of the amount of misinformation spread every day online is a huge threat to the society. Organizations and researchers are working to contrast this misinformation …
Michael Soprano
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 explore my PhD thesis (written in English), as well as my Master’s , Bachelor’s , and High School theses (written in Italian).
Towards a Conversational-Based Agent for Healthcare
Workshop Talk - CARE: Conversational Agents and Responsible Ethics in Healthcare Workshop, held as part of the European Federation of Medical Informatics Special Topic Conference …
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 …
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 …