Abstract

In recent years, the proliferation of distinct forms of false information online has raised the challenge of verifying the truthfulness of such content. To this aim, the scientific community has developed computational approaches (based on machine and deep learning) as well as human-in-the-loop solutions (based on crowdsourcing). The MoT project aims at defining:

1. a novel evaluation framework to assess the effectiveness of approaches aimed at detecting information truthfulness.
2. novel hybrid solutions that combine state-of-the-art automatic and human-in-the-loop approaches.

Partenariato

• Università degli Studi di Udine (PI)
• Università degli Studi di Milano-Bicocca

Importo del progetto

Importo totale del progetto        Euro 247.019
Importo del progetto Uniud        Euro 105.447
Finanziamento Uniud                Euro 20.943

Durata

• Data avvio progetto 28/09/2023
• Data conclusione progetto 28/09/2025

Link

http://smdc.uniud.it/smdc/prin2022/  (in preparazione)