When Nationalism Encounters the COVID-19 Pandemic: Understanding Chinese Nationalism From Media Use and Media Trust

Figures & data

Figure 1. Channels used for acquiring news about COVID-19.

Table 1. Predictors of the correlations between news media use, social media use, and nationalism.

Variables	News media use	Social media use
Nationalism	0.467***	0.448***
Age	−0.037	0.035
Gender	0.018	0.010
Education	0.214***	0.134***
Employment	0.001	0.004
Income	−0.063+	−0.051
Political membership	0.036	0.059**
Constant	2.048***	1.895***
Observations	669	669
R-squared	0.339	0.328

Note: p-value in parentheses.

*** p < 0.001, ** p < 0.01, * p < 0.05, +p < 0.1.

Table 2. Descriptive statistics on the level of news media trust in China during the COVID-19 pandemic.

	N	Minimum	Maximum	Mean	Median	Mode	Std. deviation
News media trust	669	1.00	5.00	3.95	4	5	.98940
valid N (listwise)	669

Table 3. Predictors of the correlations between news media trust, news media use, and the use of social media.

Variables	General media use	News media use	News media trust
General media trust	0.688***
News media trust		0.700***
Social media use			0.477***
Age	0.029	0.063+	0.151***
Gender	−0.086+	−0.067	0.020
Education	0.016	−0.050	−0.022
Employment	0.005	0.010	0.022
Income	0.055+	0.072*	−0.062
Political membership	−0.007	−0.006	0.088**
Constant	1.145***	1.000***	1.428***
Observations	669	669	669
R-squared	0.564	0.499	0.274

Note: p-value in parentheses.

*** p < 0.001, ** p < 0.01, * p < 0.05, +p < 0.1.

Table 4. Predictors of the correlations between general media trust, news media trust, and nationalism.

Variables	General media trust	News media trust
Nationalism	0.326***	0.091+
Age	−0.050	−0.049
Gender	−0.031	−0.011
Education	0.192***	0.175***
Employment	−0.009	−0.003
Income	−0.021	−0.014
Political membership	0.017	0.009
Constant	1.615***	1.694***
Observations	669	669
R-squared	0.520	0.493

Note: p-value in parentheses.

*** p < 0.001, ** p < 0.01, * p < 0.05, +p < 0.1.