Abstract We studied international migrations of researchers, scientists, and academics, to better understand the so-called “brain drain” phenomenon, if and how it can be measured,…
Posts published in “computational social science”
Abstract In this paper we propose a data acquisition methodology, and a Machine Learning solution for the partially automated evaluation of real estate properties. The…
With the spread of web 2.0 and digital technologies, the divide between producers and consumers – of culture, of science, of news – has become…
Our analysis of the italian debate around #immigration in Twitter has been published on Future Internet (MDPI – Open Access)! Spoiler alert: political orientation of…
Five Years. Not a Bowie’s song, but the time we took to collect/clean/analyse wire transfers’s data, build a network and get all the necessary authorizations…
Giancarlo Ruffo and Alfonso Semeraro will be giving a tutorial on the current research on misinformation, with a focus on fake-news spreading dynamics and fact-checking.…
Our paper “#Brexit: Leave or remain? the role of user’s community and diachronic evolution on stance detection” (with Mirko Lai, Viviana Patti, and Paolo Rosso)…
After many months (if not years) of design, check, re-design cycles, we are finally proud to announce that our test “”Can you spot fake-news?” is…
Abstract The paper describes the Web platform built within the project “Contro l’Odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy.…
“News and the city: understanding online press consumption patterns through mobile data” has been accepted and published as regular paper in EPJ Data Science. It…