Datasets 

Here's a video recording of a talk by Fabio Giglietto of the University of Urbino, given in June 2023 at the University of Queensland's Digital Media Research Center. Topic: using OpenAI models to identify the most salient topics circulated via Facebook links in the run-up to the Italian general elections.

In this piece we present findings from a study on current fact-checking archiving practices and Facebook post removals using the “War in Ukraine” dataset of the European Digital Media Observatory (EDMO). Insights presented here come from a project that was carried out as part of the Digital Methods Initiative Winter School and Data Sprint 2023.

Here's another project that was carried out during the 2023 Winter School organised by the University of Amsterdam’s Digital Methods Initiative (DMI). The work of this team, coordinated by the hosts themselves, among other tested a "detection method” that is to allow fact-checkers for faster detection of “post-truth spaces” and verification of actors that spread (in this case pro-Kremlin) propaganda on social networks.

During the 2023 Winter School organised by the University of Amsterdam’s Digital Methods Initiative, a Uni URB team, led by by Fabio Giglietto, carried out a project that dealt with (mis)information dynamics in online networks in the context of the war in Ukraine. Here’s what they found.