The following analysis complements the findings presented in the paper Rinke & Löb (tba). Contexts of contestation: How political systems, sociocultural divides and media types shape inclusion and justification in public discourse.
The following table shows the numerical estimates from a mixed-effects Poisson regression model regressing the item-level count variable justification frequency on the three factors (1) type of political system, (2) socio-cultural division, and (3) media type.
| Justification frequency | ||
|---|---|---|
| B | SE | |
| Political system | ||
| Mixed (vs Consensus) | -.05 | .03 |
| Majoritarian (vs Consensus) | .05 | -.04 |
| Societal division | ||
| Contested secularism (vs Stable secularism) | -.05 | .04 |
| Media type | ||
| News website (vs Blog) | .19 | -.14 |
| Printed newspaper (vs Blog) | .16 | -.12 |
| N (media outlets) | 99 | |
| N (news items) | 1,700 | |
Note: Cell entries are unstandardized coefficients with standard errors (SE) from a mixed-effects Poisson regression model. Reference categories for categorical independent variables given in parentheses. * p < .05; ** p < .01; *** p < .001