4 papers
Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
Michael Soprano, Andrea Cioci, Stefano Mizzaro
Deepfakes are increasingly realistic and easy to produce, raising concerns about the reliability of human judgments in misinformation settings. We study audiovisual deepfake detect…
Large Language Models for Combinatorial Optimization: A Systematic Review
Francesca Da Ros, Michael Soprano, Luca Di Gaspero +1
This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our findings using the Preferred Reporting Items for S…
In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation
Michael Soprano
The spread of online misinformation poses serious threats to democratic societies. Traditionally, expert fact-checkers verify the truthfulness of information through investigative…
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
Kevin Roitero, Dustin Wright, Michael Soprano +2
Evaluating the truthfulness of online content is critical for combating misinformation. This study examines the efficiency and effectiveness of crowdsourced truthfulness assessment…