Signaling expertise through the media? Measuring the appearance of corporations in political news through a complexity lens

Figures & data

Table 1. Regression results.

	Dependent variable:
	Share of corporations in articles
	(1)	(2)	(3)	(4)	(5)
CTTR (complexity)	0.088***	0.090***			0.088***
	(0.004)	(0.005)			(0.005)
Coleman-Liau index (readability)			−0.062***	−0.058***	−0.044***
			(0.009)	(0.009)	(0.009)
Density	0.117**	0.124**	0.345***	0.353***	0.168***
	(0.048)	(0.049)	(0.049)	(0.049)	(0.049)
Diversity (Shannon’s H)	−0.567***	−0.672***	−0.799***	−0.918***	−0.746***
	(0.100)	(0.101)	(0.102)	(0.102)	(0.102)
Medium ref: The Times		0.004		−0.179***	−0.010
		(0.027)		(0.026)	(0.028)
Policy: energy		0.154***		0.169***	0.154***
		(0.037)		(0.038)	(0.037)
Policy: environment		−0.410***		−0.296**	−0.371***
		(0.114)		(0.115)	(0.114)
Policy: housing		0.124***		0.143***	0.120***
		(0.039)		(0.039)	(0.039)
Policy: law, crime, family		−0.355***		−0.314***	−0.349***
		(0.038)		(0.039)	(0.038)
Policy: transport		−0.058		−0.012	−0.049
		(0.042)		(0.042)	(0.042)
Constant	−1.229***	−1.211***	0.194*	0.237**	−0.729***
	(0.062)	(0.070)	(0.102)	(0.106)	(0.117)
Observations	13,463	13,463	13,463	13,463	13,463
R^2	0.051	0.081	0.012	0.044	0.084
Log Likelihood	65,427.420	65,559.460	65,255.000	65,391.100	65,572.430

*p < 0.1; **p < 0.05; ***p < 0.01.

Figure 1. Marginal effects: Predictions of share of corporations in articles based on changes in complexity and accessibility of the text (based on model 5).