Replication Data for: How the News Media Activates Public Expression and Influences National Agendas (doi:10.7910/DVN/1EMHTK)

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Part 2: Study Description
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Replication Data for: How the News Media Activates Public Expression and Influences National Agendas

doi:10.7910/DVN/1EMHTK

Harvard Dataverse

2017-11-13

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King, Gary; Schneer, Benjamin; White, Ariel, 2017, "Replication Data for: How the News Media Activates Public Expression and Influences National Agendas", https://doi.org/10.7910/DVN/1EMHTK, Harvard Dataverse, V1

Replication Data for: How the News Media Activates Public Expression and Influences National Agendas

doi:10.7910/DVN/1EMHTK

King, Gary (Harvard University)

Schneer, Benjamin (Florida State University)

White, Ariel (Massachusetts Institute of Technology)

Harvard Dataverse

2017-11-13

Social Sciences, News Media, Public Expression

We demonstrate that the news media causes Americans to take public stands on issues, join national policy conversations, and express themselves publicly more often than they would otherwise --- all key components of democratic politics. We recruited 48 mostly small media outlets that allowed us to choose groups of outlets to write and publish articles, on subjects we approved, and dates we randomly assigned. We estimate the causal effect on proximal measures, such as website pageviews and Twitter discussion of the articles' specific subjects, and distal ones, such as national Twitter conversation in broad policy areas. Our intervention increased discussion in each broad policy area by $\approx$ 62.7% (relative to a day's volume), accounting for 13,166 additional posts, with similar effects across population subgroups.

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deidentify_data.R

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This file summarizes the data used for this study and generates tables to report mean and SD by day of experiment because we are not able to disclose the original data sets.

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media_final_plotCHsubgroups_replication.R

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This file includes R code to create Figure 3

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media_rep.R

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This includes R code to create Figures 2, 5, 6, 10 and Table 1. It also creates a data file used in subsequent R code (i.e., stopping rules)

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media_rep_readme.txt

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This replication archive includes computer code we used in our analyses, along with full documentation. As discussed in our article, we are unable to disclose potentially identifying information but we have prepared and include here summary tables for each data set reporting cross tabulations of relevant outcome variables (see summary_stats.pdf).

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media_rep_stopping_rule_daysonly.R

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This includes R code to create the right panel of Figure 9

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media_rep_stopping_rule.R

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This includes R code to create the left panel of Figure 9

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media_rep_uniqueauthors.R

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This file includes R code to create Figure 4

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rep_functions.R

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This file includes R functions referenced in the other programs used to construct the figures from the paper

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summary_stats.pdf

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