Supplementary Information for:


Making the News:

Politics, the Media and Agenda Setting


Amber E. Boydstun


Chicago University Press, 2013


This page contains: the codebook and dataset used to analyze the New York Times front page, 1996-2006; files for all tables and figures in the book (with *.xlsx files containing data behind the figures); datasets used in the book’s analyses (usually in Stata *.dta format) as well as command files used to create these analyses (*.do files); the simulation files from Chapter 7; and other supplementary information.


Questions? Feel free to email: aboydstun [at] ucdavis [dot] edu

CODEBOOK AND NEW YORK TIMES FRONT-PAGE DATASET

  1. Codebook for dataset of New York Times front-page stories (Policy Agendas Topics Codebook with addendums for coding news stories) (.pdf)


  1. Dataset of New York Times front-page stories (coded by topic and sub-topic, including title and summary of each story) (.csv)


TABLES AND FIGURES

Provided below are files for all tables and figures from the book, ordered by chapter. For figures, the *.pdf files are provided along with the *.xlsx files containing the data behind these figures where applicable. The tables are provided in *.pdf files. All table and figure files can be downloaded at once using the compressed archive below.

  1. Compressed archive with all table and figure files (.zip)


Chapter 2

  1. Figure 2.1. Different Natural Disasters, Different Levels of Coverage (.pdf, .xlsx)


Chapter 3

  1. Table 3.1. A Typology of News-Generation Modes (.pdf)


Chapter 4

  1. Figure 4.1.  Daily number of Times front-page stories, 1996–2006 (.pdf, .xlsx)

  2. Figure 4.2. Size of the Times front-page agenda by year, 1996–2006 (.pdf, .xlsx)

  3. Figure 4.3a.  Times front-page attention, 1996–2006, in pie chart format (.pdf, .xlsx)

  4. Figure 4.3b.  Times front-page attention, 1996–2006, in column format (.pdf, .xlsx)

  5. Figure 4.4. Times front-page attention by subtopic, 1996–2006 (.pdf, .xlsx)

  6. Figure 4.5.  The Times front page compared to other policy agendas, 1996–2006 (.pdf, .xlsx, and with Congressional Bills: .xlsx)

  7. Figure 4.6.  The Times front page vs. full paper, 1996–2005 (.pdf, .xlsx)

  8. Figure 4.7. Times front-page topic attention by year, 1996–2006 (.pdf, .xlsx)

  9. Figure 4.8. Times front-page topic attention by month, April 2001–March 2002 (.pdf, .xlsx)

  10. Figure 4.9. Times front-page topic attention by week, January–March 2002 (.pdf, .xlsx)

  11. Figure 4.10. Times front-page attention to individual subtopics, 1996–2006 (.pdf, .xlsx)


Chapter 5

  1. Table 5.1. The relationship between the proportion and the log odds of attention (.pdf)

  2. Table 5.2. Example of diversity of discussion: when discussion of a policy topic debate expands, diversity increases (.pdf)

  3. Table 5.3. Example of congestion: when a mega storyline like 9/11 hits the agenda, congestion increases (.pdf)

  4. Table 5.4. Results from pooled cross-sectional time series models of Times front-page attention (.pdf)

  5. Figure 5.1. The change in front-page attention produced by one standard deviation change in each explanatory variable (.pdf, .xlsx)

  6. Figure 5.2. The varying effects of each explanatory variable on front-page attention across all policy topics (.pdf, .xlsx)

  7. Figure 5.3. The varying effects of each explanatory variable on front-page attention across domestic policy topics (.pdf, .xlsx)

  8. Figure 5.4. The varying effects of each explanatory variable on front-page attention across international policy topics (.pdf, .xlsx)


Chapter 6

  1. Table 6.1. Results from ARIMA models of number of sampled New York Times front-page and Wall Street Journal stories on the war on terror (.pdf)

  2. Table 6.2. Results from ARIMA models of number of New York Times Index abstracts on the death penalty (.pdf)

  3. Figure 6.1. News coverage of the war on terror, and key correlates, September 2001–December 2006 (.pdf, .xlsx)

  4. Figure 6.2. News coverage of the death penalty, and key correlates, 1960–2005 (.pdf, .xlsx)


Chapter 7

The figures for Chapter 7 were created in Stata using the *.do files (see below) and so only appear in *.pdf form

  1. Table 7.1.  A comparison of skew across major topics by institutional agenda (.pdf)

  2. Table 7.2. It takes positive feedback to produce skewed attention (.pdf)

  3. Figure 7.1. Histogram of major topic change on the front-page agenda, by month, 1996–2006 (.pdf)

  4. Figure 7.2. Example run from Condition A simulation: cumulative issue attention driven by random events (plus error) (.pdf)

  5. Figure 7.3. Example run from Condition B simulation: cumulative issue attention driven by negative feedback and random events (plus error) (.pdf)

  6. Figure 7.4. Example run from Condition C simulation: cumulative issue attention driven by positive feedback, negative feedback, and random events (plus error) (.pdf)


Chapter 8

  1. Table 8.1. Story frequencies across media types, 1996–2006 (.pdf)

  2. Figure 8.1. Skew across issues, by media type, 1996–2006 (.pdf, .xlsx)

  3. Figure 8.2. Explosive change, by media type, 1996–2006 (.pdf, .xlsx)


Chapter 9

  1. Table 9.1. The effects of media attention on policymaker activity and public concern (.pdf)

  2. Figure 9.1. The political effects of front-page coverage (.pdf, .xlsx)


Appendix

  1. Table A.1.  Times front-page attention by topic, 1996–2006, with monthly summary statistics (.pdf)

  2. Table A.2. Descriptive statistics for chapter 5 models (.pdf)

  3. Table A.3. Descriptive statistics for chapter 6 models (.pdf)

  4. Figure A.1.  Times front-page attention using different topic categorizations (.pdf, .xlsx)

  5. Figure A.2. Times front-page attention before and after 9/11 (.pdf, .xlsx)


DO FILES AND ADDITIONAL DATASETS

  1. Readme document containing sequential list of Stata .do and .dta files used for analyses (.pdf)

  2. Compressed archive of all do files used in analyses (.zip)

  3. Compressed archive of all input datasets used for analyses as well as main .dta files produced


SIMULATIONS (Chapter 7)

  1. R syntax used for simulation (.R)

  2. French highway dataset for simulation (.csv)

  3. Swiss suicide dataset for simulation (.csv)

  4. Additional details about simulation parameters (.pdf)


ADDITIONAL APPENDICES

  1. Measures of skew for Chapters 5-8 (.pdf)

  2. Modeling considerations for Chapter 5 (.pdf)