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cs.IR2026
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…
cs.IR2025
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…
cs.IR2025
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…