Reconstructing social sensitivity from evolution of content volume in Twitter
release_zwypnjpisbgu3crwgjwskuo3qi
by
Sebastián Pinto, Marcos Trevisan, Pablo Balenzuela
2022
Abstract
The consumption of news produces uneven social reactions. In most cases,
people share information and discuss their opinions; public interest remains
therefore bounded to the field of debate. A few cases, in contrast, fuel up the
collective sensibility and give rise to social movements. To explain the
dynamics that underlie the emergence of these reactive states, we set up a
simple mathematical model for public interest in terms of media coverage and
social interactions. We test the model on a series of events related to
violence in the US during 2020. The volume of tweets and retweets is used as a
proxy of public interest, and the volume of news as a proxy of media coverage.
We show that the model succesfully fits the data and allows inferring a measure
of social engagement that correlates with human mobility data. Our findings
suggest that this low-dimensional model captures the basic ingredients that
regulate social responses capable of ignite social mobilizations.
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