Table 1.
Details of the coded articles.
Table 2.
Coding questions.
Table 3.
Coding questions used for calculating the value of the composite variable “ACCURATE”.
Table 4.
Summary and specification of the dependent variables.
Table 5.
Summary and specification of the independent variables.
Figure 1.
Proportions of “accurate” and “not accurate” scores per coding question included in the ACCURATE variable.
The proportions (in %) of categorization into “not accurate” (value = 0) versus “accurate” (value = 1) for the 4 coding questions (see text left to the bar graph) that were used to calculate the value of the composite variable “ACCURATE”. Each article received a score of 0 or 1 for each of these 4 questions, and the total score for “ACCURATE” was the average of these 4 scores, resulting in a total score between 0 and 1.
Figure 2.
Distributions of Tone categories by News Wave, Topic, and Media Type.
Values inside the bars are the percentages of the tone categories (see gray-scale coding legend above the bar graphs) within each category of the independent variables. Absolute numbers of articles are indicated between brackets behind the News wave, Topic and Media Type categories left to the bar graphs. A. Tone distribution for News wave versus regular reporting periods. B. Tone distribution for the different Topics. C. Tone distribution for the different Media Types.
Figure 3.
Average accuracy values by Topic, Tone, Media Type and by Tone per Media Type.
A. The average accuracy values for the different Topics. B. The average accuracy values (bars, left vertical axis) for the different Tone categories. The proportion of News articles and Commentaries (as % of all articles) is additionally plotted for each tone category (lines, right vertical axis). C. The average accuracy values for the different Media Types. D. The average accuracy values by Tone category for the three newspaper types separately. All graphs: error bars indicate s.e.m.