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What we aim is to understand if these two actors speak the same speech (such as problems, opportunities, etc) or not, if they speak about the sam… Read More
What we aim is to understand if these two actors speak the same speech (such as problems, opportunities, etc) or not, if they speak about the same topics, and if it happens, who speaks more about what and how. In order to visualize similarities and differences in the way the two poles speak about topics, we hypothesized an interactive tool that permits to compare thematic areas, visualize the importance of words through tagclouds and discover the context of a single semantic unit (the phrase it comes from) through word-trees. Read Less
Published:
Thanks to the development of digital methods of research, digital media are considered a source of knowledge rather than just an object of study.
The possibility to access the heterogeneous flows of data and information emerging from the internet could be seen as an innovative method to observe and represent social complex phenomena.
This approach gives us the opportunity to look at the web as a continuous space as part of the real and to consider that social-media contain rich digital data and information to capture, explain and discuss social phenomena, like the italian education system that we wanted to explore in this work.
Our quali-quantitative research has its field of analysis in two opposite actors who have voice in University: students and universities themselves.
To do this, we identified students with forums (for the unstructured kind of communication they have, that reflects the way young people use internet) and universities with the Ministerial Files regarding each college and course (cercauniversita.cineca.it/).

What we aim is to understand if these two actors speak the same speech (such as problems, opportunities, etc) or not, if they speak about the same topics, and if it happens, who speaks more about what and how. In order to visualize similarities and differences in the way the two poles speak about topics, we hypothesized an interactive tool that permits to compare thematic areas, visualize the importance of words through tagclouds and discover the context of a single semantic unit (the phrase it comes from) through word-trees.

Project by:
Monica Diani, Valerio Pellegrini, Tommaso Trojani, Giorgio Roberto Uboldi, Francesco Villa