Depolarized by the Media? The Role of Heterogeneous and Homogeneous Traditional and Digital Media Diets in Issue Polarization Around COVID-19 in the United States

Figures & data

Figure 1. Full theoretical model.

Table 1. Means (standard deviations) for variables by preferred candidate.

	Trump n = 462	Biden n = 800	Total N = 1,262	Inferential	Effect size (Eta squared)
Support for COVID-19 preventive measures 1 (low) to 5 (high)	2.62 (.93)	3.28 (0.75)	3.04 (0.88)	F(1,1257) = 239.31, p < .001	.160
Homogeneity of traditional news consumption 0 (heterogeneous) to 6 (homogeneous)	.62 (.70)	0.59 (0.61)	0.60 (0.65)	F(1,1257) = .002, p = .966	<.001
Homogeneity of digital news consumption 0 (heterogeneous) to 6 (homogeneous)	.63 (.87)	0.62 (0.76)	0.62 (0.80)	F(1,1257) = 0.12, p = .725	<.001

Figure 2. Moderating effect of homogeneity of traditional news consumption on preferred candidate and support for COVID-19 preventive measures. 95% CI in thicker line.

Figure 3. Moderating effect of homogeneity of digital news consumption on preferred candidate and support for COVID-19 preventive measures. 95% CI in thicker line.

Data availability statement

Codebook and datasets are available at https://doi.org/10.1016/j.dib.2021.107548