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Table 3 Correlation between User \(P(H)\) and retweeted Domain, Content or Topic \(RP(H)\)

From: Reaching the bubble may not be enough: news media role in online political polarization

User P(H) Brazil Canada
Domain RP(H) Content RP(H) Topic RP(H) Domain RP(H) Content RP(H) Topic RP(H)
(1) all N = 23,033 N = 23,844 N = 18,484 N = 31,070 N = 31,370 N = 21,487
r = 0.834*** r = 0.892*** r = 0.643*** r = 0.701*** r = 0.878*** r = 0.381***
ρ = 0.790*** ρ = 0.833*** ρ = 0.619*** ρ = 0.601*** ρ = 0.721*** ρ = 0.332***
(2) neutral N = 2960 N = 2956 N = 2445 N = 6278 N = 6261 N = 4420
r = 0.404*** r = 0.512*** r = 0.359*** r = 0.448*** r = 0.625*** r = 0.216***
ρ = 0.385*** ρ = 0.507*** ρ = 0.360*** ρ = 0.410*** ρ = 0.599*** ρ = 0.220***
(3) polarized N = 20,073 N = 20,888 N = 16,039 N = 24,792 N = 25,109 N = 17,067
r = 0.857*** r = 0.913*** r = 0.666*** r = 0.727*** r = 0.913*** r = 0.396***
ρ = 0.783*** ρ = 0.816*** ρ = 0.625*** ρ = 0.518*** ρ = 0.619*** ρ = 0.293***
  1. Note: r and ρ represent the Pearson and Spearman’s correlation coefficients, respectively. All correlations are significant at p<0.001 level (two-tailed).