Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago.
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- Record sourced from PubMed, PMID 31304296.
- Also identified by DOI 10.1038/s41746-018-0020-x and PMC identifier 6550197.
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Abstract
Recent studies suggest social media shapes the transmission of firearm violence in high-poverty, urban neighborhoods. However, the exact pathways by which content on social media becomes threatening has not been studied. We consider a dataset of tweets by gang-involved Chicago youth that are coded for expressions of aggression and/or loss. Using a permutation test and mixed-effects log linear regression, we find that aggression and loss tweets do not occur randomly, and furthermore that in a 2-day window after loss expressions we find an increase in aggressive tweets. We discuss implications for intervention.