Replication Data for: Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption (doi:10.7910/DVN/D6CH6C)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Replication Data for: Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption

doi:10.7910/DVN/D6CH6C

Harvard Dataverse

2023-11-13

1

Hopkins, Daniel, 2023, "Replication Data for: Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption", https://doi.org/10.7910/DVN/D6CH6C, Harvard Dataverse, V1

Replication Data for: Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption

doi:10.7910/DVN/D6CH6C

Hopkins, Daniel (University of Pennsylvania)

Daniel Hopkins

Harvard Dataverse

Daniel Hopkins

Hopkins, Daniel

2023-06-21

https://doi.org/10.7910/DVN/D6CH6C

Social Sciences, Field experiments, Newspapers, Nationalization

Local newspapers convey extensive subnational political information but have dwindling audiences. In a nationalized and polarized information environment, can online interventions increase state/local news consumption and with what effects? We explore this question via a pre-registered experiment randomizing Pennsylvania residents (n=5,059) to staggered interventions encouraging news consumption from leading state newspapers. 2,529 individuals were offered free online subscriptions, but only 44 subscribed; we find little evidence of treatment effects on knowledge, engagement, or attitudes. We then administered a second treatment element-promoting subnational news directly via Facebook feeds-with a higher application rate but similarly limited impacts. Observational analyses of these respondents and separate national samples show that Democratic political partisanship has come to predict local newspaper subscriptions. Contemporary local newspapers may face a demand-side dilemma: the engaged citizens who formerly read them now prefer national, partisan content.

This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. <br></br> NOTE: Due to data producer's terms of use, the author is unable to post the ANES data in AJPS Dataverse. However, the author was able to share these data with the Odum Institute for verification purposes. Please see the readme for data access information. <br></br> The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the <a href="https://osf.io/tvyxz/wiki/home/" target="_blank">Center for Open Science</a>.<br></br> <img src="https://odum.unc.edu/files/2020/03/OpenData_PA_PR-1.png" alt="Open Data PA Badge" height="77" width="80"> <img src="https://odum.unc.edu/files/2020/03/OpenMaterials_PR-1.png" alt="Open Materials Badge" height="77" width="80">

American National Election Studies. 2021. ANES 2020 Time Series Study Full Release [dataset and documentation]. February 10, 2022 version. www.electionstudies.org <br></br> American National Election Studies. 2022. ANES Time Series Cumulative Data File [dataset and documentation]. September 16, 2022 version. www.electionstudies.org <br></br> Hopkins, Daniel J.; Mutz, Diana C., 2022, "Institute for the Study of Citizens and Politics Panel", https://doi.org/10.7910/DVN/CYISG1, Harvard Dataverse, V1

Both ANES data files for this manuscript are not available on the AJPS Dataverse due to the terms of use of the data producer. To request access to these data please go to www.electionstudies.org.

The <i>American Journal of Political Science</i> and the Odum Institute for Research in Social Science are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

Hopkins, Daniel J., and Tori Gorton. [date]. "Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption." <i>American Journal of Political Science</i> Forthcoming. <a href="http://ajps.org/" target="_blank">http://ajps.org/</a>

Hopkins, Daniel J., and Tori Gorton. [date]. "Unsubscribed and Undemanding: Partisanship and the Minimal Effects of a Field Experiment Encouraging Local News Consumption." <i>American Journal of Political Science</i> Forthcoming. <a href="http://ajps.org/" target="_blank">http://ajps.org/</a>

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1. README.txt

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A5-replication-06152023.R

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this file produces Table A5

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ANES 2020 Time Series Study Hopkins Gorton Codebook 09112023.pdf

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Codebook containing the 25 variables derived from the ANES 2020 Time Series survey that are included in the analysis. The codebook provides a variable name, definition and its possible values.

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anes corr_12022022_TG.Rmd

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this file produces Table A22 and Figure A8.

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ANES replication code_TG.Rmd

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this file produces Table A21 and Figure 7.

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ANES Time Series Cumulative Data File 1948 - 2020 Hopkins Gorton Codebook 09112023.pdf

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Codebook containing the 23 variables derived from the ANES 1948 - 2020 Time Series surveys that are included in the analysis. The codebook provides a variable name, definition and its possible values.

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anes-corr_12022022_TG.html

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this is the output for anes corr_12022022_TG.RMD, which outputs Table A22 mid-way through the document and Figure A8 at the very end

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ANES-replication-code_TG.html

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this is the output for ANES replication code_TG.RMD, which outputs Table A21 and Figure 7.

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Civiqs Hopkins Gorton Codebook 09122023.pdf

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Codebook containing the 12 variables derived from the panel survey conducted by Prof. Daniel J. Hopkins through Civiqs that are included in the analysis. The codebook provides a variable name, defenition, possible values, and which waves the variable appears in. Variables which appear in numerous waves recieved the suffix "W_NUMBER". That is, the variable "GOVWOLF_news_story.W_NUMBER" in wave 9 is coded in the data as "GOVWOLF_news_story.W9"

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Figure_6.png

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this is the output that results when running newspaper-iscap-replication-06132023.R, resulting in the replication of Figure 6.

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ISCAP Hopkins Gorton Codebook 09122023.pdf

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Codebook containing the 4 variables derived from the Institute for the Study of Citizens and Politics (ISCAP) panel survey conducted by Networks, GfK, and Ipsos that are included in the analysis. The codebook provides a variable name, defenition, possible values, and which waves the variable appears in.

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MainNewspaperReplicationCode-091823-JT.R

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this file produces Tables 1, 2, 3, 4, 5, A2, A3, A4, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A17, A18, A19, and A20.

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mainnewspaperreplication_output.txt

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this is the output that results when running MainNewspaperReplicationCode-091823-JT.R. It produces Tables 1, 2, 3, 4, 5, A2, A3, A4, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A17, A18, A19, and A20.

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newspaper-a5-06152023.Rdata

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loads dta.m, a dataset containing the 20 variables needed to reproduce Table A5.

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newspaper-iscap-replication-06132023.R

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this file produces Figure 6.

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newspaper-replication-ISCAP-05242023.Rdata

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loads dta22, a dataset containing the 6 variables needed to reproduce Figure 6

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ReplicationDataset.RData

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dta.m <— dataset containing all respondents from Civiqs that have been surveyed and are from PA. The variables include answers to questions about government approval, efficacy, opinion on policies, demographics and treatment indicators. This dataset also includes how descriptions of Gov. Wolf by Pa residents were classified. This dataset is used to produce Tables 1, 2, 3, 4, 5, A2, A3, A4, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A17, A18, A19, and A20. MainNewspaperReplicationCode-091823-JT.R calls this data set.

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TableA5.txt

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this is the output that results when running A5-replication-06152023.R. It produces Table A5.

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