This repository stores the needed data and files for replicating our paper.
data/
: stores the data for replicationcode/
: stores the code for replicationREADME.md
: this file, providing an overview of the repository
- Clone / download this repository, and
cd
into the directory - Go to the directory of
code/
, e.g.,cd ./code/
- Run the R-script in
replication.R
to replicate the results, each replication will be commented with its DV and Platform
R version: 4.4.1 (2024-06-14)
Loading required package: Matrix
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
...
============= Replicating: Media Coverage / Instagram =============
Call:
felm(formula = eq, data = df)
Residuals:
Min 1Q Median 3Q Max
-0.39837 -0.07515 -0.01398 0.05269 0.60592
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.19013 0.03512 5.414 1.72e-07 ***
g 0.20674 0.03355 6.162 3.78e-09 ***
s 0.16937 0.04589 3.691 0.000287 ***
l 0.13145 0.04060 3.238 0.001407 **
log1p(pres) 1.29100 0.13840 9.328 < 2e-16 ***
log1p(gop) 1.23594 0.15296 8.080 5.59e-14 ***
g:s -0.17556 0.06074 -2.890 0.004264 **
g:l -0.31652 0.04428 -7.148 1.54e-11 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.1338 on 204 degrees of freedom
Multiple R-squared(full model): 0.7182 Adjusted R-squared: 0.7085
Multiple R-squared(proj model): 0.7182 Adjusted R-squared: 0.7085
F-statistic(full model):74.26 on 7 and 204 DF, p-value: < 2.2e-16
F-statistic(proj model): 74.26 on 7 and 204 DF, p-value: < 2.2e-16
...
Data in are aggregated and do not contain any sensitive information nor violating the terms of usage required by sources.
If you have any questions, please contact our corresponding author, **; or **, who maintains the repository. Their emails are provided in the paper.
- Link to our paper:
TBD
- APA
TBD
- BibTex
TBD