Skip to main content

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).