Studying Politics Across Media by Leticia Bode Emily K. Vraga

Author:Leticia Bode, Emily K. Vraga [Leticia Bode, Emily K. Vraga]
Language: eng
Format: epub
ISBN: 9780367194536
Barnesnoble:
Publisher: Taylor & Francis
Published: 2019-02-26T00:00:00+00:00

Acknowledgments

We thank three reviewers, the editors, and participants at the ECPR General Conference 2016 for helpful comments.

Notes

1. The wording is “In your opinion what is the most important political problem facing Germany at the moment?” (Rattinger et al., 2014).

2. Before the election, 7,249 participants (92%) stated an MIP and 6,673 (85%) stated a second MIP. After the election, 5,016 respondents (64%) stated an MIP and 4,666 (59%) stated a second MIP.

3. 4,220 (54%) participants stated four problems, 543 (7%) stated three, 2,364 (30%) stated two and 367 (5%) stated one problem. A total of 388 participants (5%) did not know a problem or did not respond.

4. The data mining of Facebook posts ended three days earlier, on October 31, 2013.

5. We sampled from audience tweets in which only one politician was mentioned.

6. The correlations between all social media corpora are very similar and highly significant (p < 0.001) when only using the 18 known topics from the survey as input.

7. Since most models were heteroscedastic, we use robust standard errors.

8. This is not a hard distinction but rather an exploratory application of the GLES labels. In fact, it is difficult to distinguish policy aspects from politics aspects related to an issue.

9. We do not include all corpus dummies at once because as part of corpus pairs, the dummies are not mutually exclusive. Therefore, we cannot exclude one dummy as the reference category and interpret results accordingly, as it is usually done with multiple-category variables.

10. The main results are robust when rerunning the regression models using only known topics from GLES (with N = 180 cells in Figure 2) and also when solely taking the new social media topics into account (N = 60 cells). The exception is the model with only known topics, in which the Twitter politicians and audience dummies lose their significance. Since some of the dummy variables overlap considerably, we also ran broader and smaller models with varying constellations of included variables, which confirm the main findings.

11. Although agenda-setting is outside the scope of our study, this distinction resembles the conceptualization of first- and second-level effects found in the related literature (McCombs, Llamas, Lopez-Escobar, & Rey, 1997).

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