Multi-scale analysis of the community structure of the Twitter discourse around the Italian general elections of September 2022

In this article, we analyzed the discussion on Twitter regarding the Italian Political Elections of September 25, 2022. We built a network of interactions (retweets and replies) concerning topics of Italian and international politics among accounts belonging to political parties

IDMO – Digital Media Literacy Gaps and Needs

Objective of this research on digital needs, edited by Rai, T6 Ecosystems and Tim, in collaboration with LUISS and with the institutional support of the Ministero dell’Istruzione e del Merito, Direzione generale per i fondi strutturali per l’istruzione, l’edilizia scolastic

Luiss Data Lab e Fieg: 2 milioni di euro da Google.org

Luiss Data Lab e Fieg ricevono da Google.org un Grant da 2 milioni di euro e supporto tecnico pro bono di sei mesi, per un progetto congiunto sul contrasto alla disinformazione presentato in occasione della Impact Challenge: Tech for Social Good di Google.org

Impartiality and cognitive bias in the fact-checking process: an overview

The lack of impartiality is increasingly used as an argument to attack the credibility of news media outlets, as well as to undermine the trustworthiness of fact-checkers. The impartiality of news, regardless of the source, in a polarized social media world, is not common ground

The migrants’ Map

La mappa dei migranti racconta il viaggio disperato verso i paesi più sviluppati che costa la vita a migliaia di esseri umani e di bambini ogni giorno

Disinformation as Infrastructure: Making and Maintaining the QAnon Conspiracy on Italian Digital Media

Building from sociotechnical studies of disinformation and of information infrastructures, we examine how – over a period of eleven months – Italian QAnon supporters designed and maintained a distributed, multi-layered “infrastructure of disinformation” th

Multi-scale analysis of the community structure of the Twitter discourse around the Italian general elections of September 2022

In this article, we analyzed the discussion on Twitter regarding the Italian Political Elections of September 25, 2022. We built a network of interactions (retweets and replies) concerning topics of Italian and international politics among accounts belonging to political parties

IDMO – Digital Media Literacy Gaps and Needs

Objective of this research on digital needs, edited by Rai, T6 Ecosystems and Tim, in collaboration with LUISS and with the institutional support of the Ministero dell’Istruzione e del Merito, Direzione generale per i fondi strutturali per l’istruzione, l’edilizia scolastic

Luiss Data Lab e Fieg: 2 milioni di euro da Google.org

Luiss Data Lab e Fieg ricevono da Google.org un Grant da 2 milioni di euro e supporto tecnico pro bono di sei mesi, per un progetto congiunto sul contrasto alla disinformazione presentato in occasione della Impact Challenge: Tech for Social Good di Google.org

Impartiality and cognitive bias in the fact-checking process: an overview

The lack of impartiality is increasingly used as an argument to attack the credibility of news media outlets, as well as to undermine the trustworthiness of fact-checkers. The impartiality of news, regardless of the source, in a polarized social media world, is not common ground

The migrants’ Map

La mappa dei migranti racconta il viaggio disperato verso i paesi più sviluppati che costa la vita a migliaia di esseri umani e di bambini ogni giorno

Disinformation as Infrastructure: Making and Maintaining the QAnon Conspiracy on Italian Digital Media

Building from sociotechnical studies of disinformation and of information infrastructures, we examine how – over a period of eleven months – Italian QAnon supporters designed and maintained a distributed, multi-layered “infrastructure of disinformation” th


Scientific board

Francesco Seghezzi

Francesco Nespoli

Andrea Nicolai

Bill Emmott

Giuseppe Italiano

Costanza Sciubba Caniglia

Elena Musi

Maurizio Molinari

Livia De Giovanni

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