Replication Data for: Placebo-Augmented PICA Design (PICA-2): Assessing the Influence of Foreign Propaganda (doi:10.7910/DVN/1KQN5U)

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Replication Data for: Placebo-Augmented PICA Design (PICA-2): Assessing the Influence of Foreign Propaganda

doi:10.7910/DVN/1KQN5U

Harvard Dataverse

2025-03-09

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Egami, Naoki; Donald P. Green; Eunji Kim; Daniel C. Mattingly, 2025, "Replication Data for: Placebo-Augmented PICA Design (PICA-2): Assessing the Influence of Foreign Propaganda", https://doi.org/10.7910/DVN/1KQN5U, Harvard Dataverse, V1

Replication Data for: Placebo-Augmented PICA Design (PICA-2): Assessing the Influence of Foreign Propaganda

doi:10.7910/DVN/1KQN5U

Egami, Naoki (Columbia University)

Donald P. Green (Columbia University)

Eunji Kim (Columbia University)

Daniel C. Mattingly (Yale University)

Harvard Dataverse

Egami, Naoki

Egami, Naoki

2025-02-13

https://doi.org/10.7910/DVN/1KQN5U

Social Sciences, PICA, preference-incorporating choice and assignment, External Validity, China, Foreign Propaganda

Most media experiments analyze the impact of messages chosen by researchers, often on topics participants might avoid. Addressing this limitation, the innovative ``preference-incorporating choice and assignment" (PICA) design allows researchers to estimate causal effects among viewer subgroups with different content preferences. Building on this, we propose a novel placebo-augmented PICA design that more efficiently estimates these causal effects, along with a falsification test that helps detect violations of core assumptions. We use this new method to study whether Chinese and American propaganda cultivate support for their competing political models in Africa, a subject of broad scholarly and policy interest. A survey experiment conducted in five African countries shows that propaganda's effects are especially large for those who would ordinarily choose not to watch it. Our results highlight both the value of the experimental design and the challenge faced by the two global powers in influencing foreign public opinion.

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ReadMe file

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Codebook

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Codebook

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make_figure.R

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The code to create figures in the main text

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pica2_analysis.R

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The main analysis code

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pica2_analysis_appendix.R

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The code for the appendix

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pica2_econ_final.rdata

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Intermediate data produced from pica_2_analysis.R

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pica2_political_final.rdata

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Intermediate data produced from pica_2_analysis.R

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pica2_site_select_SPS.R

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The code to select sites

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simulations_make_figure.R

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The code to create figures for the simulation study

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sps_out_pica2_final.rdata

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Intermediate data produced from pica2_site_select_SPS.R

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pica2_data.rdata

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The main data used in analyses

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pica2_data_include_ac_failure.rdata

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Data used in the appendix

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pica2_incompletes.rdata

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Data used in the appendix

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sps_data.rdata

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Data used for site selection.

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Figure_2.pdf

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Figure 2

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Figure B1

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Figure B2

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FIgure B3

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Figure B4

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Figure_F1.pdf

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Figure F1

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Figure_F2.pdf

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Figure F2

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Figure_F3.pdf

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Figure F3

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Figure_H1.pdf

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Figure H1

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Table_G1.tex

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Tex File fot Table G1

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Table_G2.tex

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Table G2

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Table G3

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Table G4

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Table_H1.tex

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Table H1

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Table_H2.tex

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Table H2

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Table H3

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Table H4

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Table H5

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Table_H6.tex

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Table H6

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bounds_frechet_function_for_pica2.R

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The code used in the simulation study. This code requires High-Performance Computing.

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pica1_use.R

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The function to run the PICA-1.

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pica2.R

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The main function to run the PICA-2.

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bounds_frechet_function.R

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The code used in the simulation study. This code requires High-Performance Computing.

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bounds_frechet_function_new_estimand.R

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The code used in the simulation study. This code requires High-Performance Computing.

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HPC_loop_FINAL.R

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The code used in the simulation study. This code requires High-Performance Computing.

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HPC_prepare.R

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The code used in the simulation study. This code requires High-Performance Computing.

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lll.R

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The code used in the simulation study. This code requires High-Performance Computing.

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run_simulations_HPC.R

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The code used in the simulation study. This code requires High-Performance Computing.

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Spring2014omnibus_raw.csv

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The data used in the simulation study. This code requires High-Performance Computing.

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HPC_0724_big_clean.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0.33OD_0.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0.67OD_0.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0OD_0.33.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0OD_0.67.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0OD_0.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_0OD_1.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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true_out_CD_1OD_0.rds

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The data used in the simulation study. This code requires High-Performance Computing.

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