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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Media Influence and Spatial Voting: The Role of Perceived Party Positions |
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Identification Number: |
doi:10.7910/DVN/MJIF4M |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-03-04 |
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Version: |
1 |
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Bibliographic Citation: |
da Silva, Lucas Paulo, 2025, "Replication Data for: Media Influence and Spatial Voting: The Role of Perceived Party Positions", https://doi.org/10.7910/DVN/MJIF4M, Harvard Dataverse, V1, UNF:6:k6sdbK6xbfu3WJ2HGkWYyg== [fileUNF] |
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Citation |
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Title: |
Replication Data for: Media Influence and Spatial Voting: The Role of Perceived Party Positions |
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Identification Number: |
doi:10.7910/DVN/MJIF4M |
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Authoring Entity: |
da Silva, Lucas Paulo (Trinity College Dublin) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
da Silva, Lucas Paulo |
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Depositor: |
da Silva, Lucas Paulo |
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Date of Deposit: |
2025-02-28 |
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Holdings Information: |
https://doi.org/10.7910/DVN/MJIF4M |
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Study Scope |
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Keywords: |
Social Sciences, media, party positions, ideology, voting, triple differences |
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Topic Classification: |
media effects, voting behavior, political behavior |
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Abstract: |
<p> If media outlets influence voters, media elites could hold disproportionate sway over elections. However, little is known about the paths through which these outlets influence voting behavior. Based on spatial voting theory, I argue that ideological media exposure alters two key mediators — ideological positions and perceptions of party positions — to influence voting behavior. The literature on media effects often assumes that the former is the mediator and ignores the latter. This study examines the effects of ideological media exposure on these two potential mediators and on voting behavior. </p> <p> However, it is difficult to study these relationships because audiences usually select like-minded media content, which introduces reverse causality. To address this endogeneity, I use a quasi-experiment: Liverpool’s longstanding boycott of the popular right-wing British tabloid newspaper, <i>The Sun</i>. This was an exogenous boycott that was not caused by political factors. Rather, it was due to <i>The Sun</i> falsely blaming the 1989 Hillsborough Disaster on Liverpool Football Club supporters. I estimate triple differences for the effect of this boycott on lower working-class respondents (who complied with the boycott much more than others) in Liverpool. </p> <p> The results indicate that media outlets influence ideological positions, perceptions of party positions, and, ultimately, voting behavior. The effect of media on perceived party positions appears to be particularly powerful and may indicate that it is an important mediator. Thus, this study provides timely and relevant insights about the specific ways in which media outlets influence elections. </p> |
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Unit of Analysis: |
Individuals |
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Universe: |
UK residents |
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Notes: |
<p> This study uses the same quasi-experimental treatment, much of the same data, and some of the same code as Foos and Bischof (2022). The key differences are in the theory, outcome variables, statistical models, variable coding, and control variables. For reference, their paper and replication data can be found here:<br> https://doi.org/10.1017/S000305542100085X (research paper)<br> https://doi.org/10.7910/DVN/NYPOQD (replication data) </p> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
da Silva, Lucas Paulo. 2025. "Media Influence and Spatial Voting: The Role of Perceived Party Positions." Political Behavior 1-26. |
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Identification Number: |
10.1007/s11109-025-10031-9 |
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Bibliographic Citation: |
da Silva, Lucas Paulo. 2025. "Media Influence and Spatial Voting: The Role of Perceived Party Positions." Political Behavior 1-26. |
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File Description--f10947403 |
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File: 1993_postcodes.tab |
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Notes: |
UNF:6:3DgAi1NMDsOmOdn9SGViww== |
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Dataset used in prepare_dataset.do |
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File Description--f10947399 |
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File: FB_nuts2.tab |
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Notes: |
UNF:6:1Xy9owT2GdskFSyAADXWfg== |
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Dataset used in prepare_dataset.do |
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List of Variables: |
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Variables |
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f10947403 Location: |
Variable Format: character Notes: UNF:6:gwhS6gYKwwQxoa3tHJ/Txg== |
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f10947403 Location: |
Variable Format: character Notes: UNF:6:pxAUK/ASxS6muve6Kdt0Og== |
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f10947403 Location: |
Variable Format: character Notes: UNF:6:WVmHz8C4aElVE2zWbx333Q== |
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f10947403 Location: |
Variable Format: character Notes: UNF:6:YLKQYxZNZYXDHX6hF58wIQ== |
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f10947399 Location: |
Summary Statistics: Mean 1993.5; StDev 6.349266635855421; Min. 1983.0; Max. 2004.0; Valid 638.0 Variable Format: numeric Notes: UNF:6:jQ1RLYG6se5dIeOJ5jnn5g== |
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f10947399 Location: |
Variable Format: character Notes: UNF:6:jE7EEcFKRI0/B9v4uHR4Bw== |
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f10947399 Location: |
Summary Statistics: StDev 0.5448478415941872; Valid 638.0; Mean 14.165460676338565; Max. 15.821535753646485; Min. 12.961440820085008; Variable Format: numeric Notes: UNF:6:ziCj0cC6by6LPVBRN1C5Ow== |
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f10947399 Location: |
Summary Statistics: StDev 2.550369098873428; Min. 2.533916101930785; Mean 8.152724974891644; Max. 17.551745904302102; Valid 638.0; Variable Format: numeric Notes: UNF:6:bh6akKdo7hiZHOv9WGcsoQ== |
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f10947399 Location: |
Summary Statistics: Mean 2385016.294031087; Max. 5246383.670282582; StDev 638401.2399014395; Valid 638.0; Min. 988929.1917246594 Variable Format: numeric Notes: UNF:6:UMt8Ylxi15VXChVJi5wO1g== |
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f10947399 Location: |
Summary Statistics: Valid 638.0; Max. 61.27258229846954; Min. 32.05091160240463; StDev 5.140560472516849; Mean 43.83412344768032; Variable Format: numeric Notes: UNF:6:sWut8jIELGc9uwCPFgrZwA== |
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f10947399 Location: |
Summary Statistics: Max. 5.729652970304141; StDev 0.9802869193190252; Min. 0.06267806267806268; Mean 0.994035087256025; Valid 638.0; Variable Format: numeric Notes: UNF:6:iWmreNMpADJyCCYgrVBtMg== |
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f10947399 Location: |
Summary Statistics: Valid 638.0; Mean 3.639348561551688; Max. 7.960929791885707; StDev 1.1059730594030421; Min. 1.3175326870540078; Variable Format: numeric Notes: UNF:6:qMwyUhB2WcApsgg8013D3A== |
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Label: |
1997_constituencies_RA_checks.xlsx |
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Text: |
Dataset used in prepare_dataset.do |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
1997_postcodes.xlsx |
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Text: |
Dataset used in prepare_dataset.do |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
1999_postcodes.xlsx |
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Text: |
Dataset used in prepare_dataset.do |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
analysis.R |
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Text: |
RScript for recreating tables, figures, and statistics for the main paper |
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Notes: |
type/x-r-syntax |
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Label: |
appendices.R |
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Text: |
RScript for recreating tables, figures, and statistics for Appendices A-G (Supplementary Materials) |
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Notes: |
type/x-r-syntax |
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Label: |
prepare_dataset.do |
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Text: |
Do-file to merge and recode the dataset used in analysis.R and appendices.R |
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Notes: |
application/x-stata-syntax |
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Label: |
README.txt |
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Text: |
(Read this file first) README file describing how to download/save datasets and run code files |
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Notes: |
text/plain |