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Filtering the intensity of public concern from social media count data with jumps
Matteo Iacopini, Carlo R. M. A. Santagiustina
Count time series obtained from online social media data, such as Twitter, have drawn increasing interest among academics and market analysts over the past decade. Transforming Web…
Visualizing and comparing distributions with half-disk density strips
Carlo Romano Marcello Alessandro Santagiustina, Matteo Iacopini
We propose a user-friendly graphical tool, the half-disk density strip (HDDS), for visualizing and comparing probability density functions. The HDDS exploits color shading for repr…
Public Concern and the Financial Markets during the COVID-19 outbreak
Michele Costola, Matteo Iacopini, Carlo R. M. A. Santagiustina
We measure the public concern during the outbreak of COVID-19 disease using three data sources from Google Trends (YouTube, Google News, and Google Search). Our findings are three-…