58 citations · 120 across the 8 of their papers we have counts for
8 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…
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
Michael Soprano, Kevin Roitero, David La Barbera +4
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 bal…
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
Kevin Roitero, Michael Soprano, Beatrice Portelli +6
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…
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero, Michael Soprano, Beatrice Portelli +5
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…
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Kevin Roitero, Michael Soprano, Shaoyang Fan +3
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 a…