Reconstructing social sensitivity from evolution of content volume in Twitter release_zwypnjpisbgu3crwgjwskuo3qi

by Sebastián Pinto, Marcos Trevisan, Pablo Balenzuela

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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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Date   2022-05-04
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arXiv  2112.11644v3
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