Final LATIF event – 28 November 2024
«The LATIF tool is designed to empower fact-checking organizations by improving their decision-making processes and mitigating the risk of cognitive biases. For the first time, this tool incorporates the Analysis of Competing Hypotheses (ACH) methodology used by the intelligence community into the fact-checking domain». This is how Elena Musi, Senior Lecturer in Communication and Media at […]
Strengthening impartiality for the fact-checking
The role of Artificial Intelligence (AI) in combating misinformation is evolving rapidly. AI systems have the capacity to streamline fact-checking operations and counter disinformation, but they also present risks, especially in terms of bias and transparency. As AI becomes increasingly integrated into the media sector, questions around governance and regulation become critical. The LATIF project […]
Defending European Democracy – Main Threats And Measures To Countering Disinformation
Disinformation poses a significant threat to the integrity of European values, undermining democratic processes and influencing voter behavior. This policy brief for the LATIF Project, funded by the European Media and Information Fund, reviews the current state of disinformation threats and policy measures designed to counteract them. It explores the impact of disinformation on the […]
EDMO Scientific Conference 2024
Dates: 26-27 February 2024 Location: University of Amsterdam Theme: Navigating the Complex Landscape of Disinformation Speakers: Elena Musi, Mariavittoria Masotina The European Digital Media Observatory (EDMO) Scientific Conference on Disinformation is an interdisciplinary gathering of minds interested in unravelling the intricacies of disinformation in today’s rapidly evolving information ecosystem. Hosted by the University of Amsterdam, […]
When fact-checks go viral: a cross-national analysis of the dissemination of European fact-checkers on Twitter
To be effective in countering misinformation, it is paramount for fact-checkers to reach a wide audience. This study investigates the dynamics that lead to broader engagement with fact-checking content published on social networks. Specifically, it analyzes the dissemination activity on Twitter of a cross-national sample of European fact-checkers over a span of 4 months. We […]
When fact‐checks go viral: a cross‐national analysis of the dissemination of European fact‐checkers on Twitter
Dates: 29/11/2023 – 30/11/2023
Venue: Dubrovnik Media Days 2023
Speakers: Lorenzo Federico, Mariavittoria Masotina
To be effective in countering misinformation, it is paramount for fact-checkers to reach a wide audience. This study investigates the dynamics that lead to broader engagement with fact-checking content published on social networks.
Transparency is Crucial for User-Centered AI, or is it? How this Notion Manifests in the UK Press Coverage of GPT
Transparency is a core principle for a user-centered AI present in all recent regulatory initiatives. Is it equally present in the public discourse?
Transparency is Crucial for User-Centered AI, or is it? How this Notion Manifests in the UK Press Coverage of GPT
20/09/2023 – 22/09/2023 Venue: CHItaly 2023 Speakers: Mariavittoria Masotina Transparency is a core principle for a user-centered AI present in all recent regulatory initiatives. Is it equally present in the public discourse? In this study, we focus on a type of AI that reached the media, i.e., GPT. We collected a corpus of national newspaper […]
Leveraging argumentation for impartial fact-checking
15/09/2023 Venue: IFILNOVA Speakers: Elena Musi In the current (mis)information ecosystem, the lack of impartiality is frequently used as an argument to attack the credibility of news media venues, as well as to undermine the trustworthiness of fact-checkers. The impartiality of news, regardless the source, in a polarized social media world, is not common ground […]
Fuzzy clustering of spatial interval-valued data
In questo articolo realizzato in collaborazione con il Dipartimento di Scienze Sociali ed Economiche dell’Università La Sapienza, sviluppiamo un algoritmo di classificazione di unità che sono caratterizzate utilizzando il massimo e minimo di determinati attributi insieme ad una rete di relazioni di adiacenza. Come parte del progetto LATIF, proviamo questo algoritmo su dati riguardanti l’attività […]