Walter Quattrociocchi is head of the Laboratory of Data and Complexity at Ca’ Foscari University of Venice, where he is Assistant Professor (Tenure Track) in Computer Science and currently qualified for associate professorship. His research interests include data science, network science, cognitive science, and data-driven modeling of dynamic processes in complex networks. His activity focuses on the data-driven modeling of social dynamics such as (mis)information spreading and the emergence of collective phenomena. Walter has published extensively in peer reviewed conferences and journals including PNAS. The results of his research in misinformation spreading have informed the Global Risk Report 2016 and 2017 of the World Economic Forum and have been covered extensively by international media including Scientific American, New Scientist, The Economist, The Guardian, New York Times, Washington Post, Bloomberg, Fortune, Poynter and The Atlantic). He published two books: "Misinformation. Guida alla società dell’informazione e della credulità" (Franco Angeli) and "Liberi di Crederci. Informazione, Internet e Post Verità" with Codice Edizioni for the dissemination of his results.
In 2017 Dr Quattrociocchi was the coordinator of the round table on Fake News and the role of Universities and Research to contrast fake news chaired by the President of Italy's Chamber of Deputies Mrs Laura Boldrini and is Scientific Advisor of the Italian Communication Authority (AGCOM). Dr Quattrociocchi is regularly invited for keynote speeches and guest lectures at major academic and other organizations, having presented among others at CERN, European Commission, the University of Cambridge, Network Science Institute, L’Oréal, Global Security Forum.
Our aim is to develop data-driven computational models of complex socio-cognitive systems. We work to develop innovative mathematical models and computational tools to better understand, anticipate and control massive social phenomena with a complex systems approach. The focus is on information and misinformation spreading and their effect on opinions. Our recent findings showed the pivotal role of confirmation bias on informational cascades online as well as the inefficacy of debunking in contrasting misinformation spreading.
Last update: 15/10/2019