arXiv · 2112.11644
Reconstructing social sensitivity from evolution of content volume in Twitter
Abstract
We set up a simple mathematical model for the dynamics of 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, using the volume of tweets and retweets as a proxy of public interest, and the volume of news as a proxy of media coverage. The model succesfully fits the data and allows inferring a measure of social sensibility that correlates with human mobility data. These findings suggest the basic ingredients and mechanisms that regulate social responses capable of ignite social mobilizations.
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Sebastián Pinto, Marcos Trevisan, Pablo Balenzuela. 2021-12-22. Reconstructing social sensitivity from evolution of content volume in Twitter. https://doi.org/10.1103/physreve.106.064308
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