Reconstructing social sensitivity from evolution of content volume in Twitter.
other · Level V
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- Record sourced from PubMed, PMID 36671138.
- Also identified by DOI 10.1103/PhysRevE.106.064308.
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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 successfully 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 igniting social mobilizations.
Medical subject headings
- Social Media