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metadata language: English

Replication data for: Political Campaigns and Big Data

Version
1
Resource Type
Dataset
Creator
  • Nickerson, David W.
  • Rogers, Todd
Publication Date
2014-01-01
Description
  • Abstract

    Modern campaigns develop databases of detailed information about citizens to inform electoral strategy and to guide tactical efforts. Despite sensational reports about the value of individual consumer data, the most valuable information campaigns acquire comes from the behaviors and direct responses provided by citizens themselves. Campaign data analysts develop models using this information to produce individual-level predictions about citizens' likelihoods of performing certain political behaviors, of supporting candidates and issues, and of changing their support conditional on being targeted with specific campaign interventions. The use of these predictive scores has increased dramatically since 2004, and their use could yield sizable gains to campaigns that harness them. At the same time, their widespread use effectively creates a coordination game with incomplete information between allied organizations. As such, organizations would benefit from partitioning the electorate to not duplicate efforts, but legal and political constraints preclude that possibility.
Availability
Download
Relations
  • Is supplemented by
    DOI: 10.1257/jep.28.2.51 (Text)
Publications
  • Nickerson, David W., and Todd Rogers. “Political Campaigns and Big Data.” Journal of Economic Perspectives 28, no. 2 (May 2014): 51–74. https://doi.org/10.1257/jep.28.2.51.
    • ID: 10.1257/jep.28.2.51 (DOI)

Update Metadata: 2019-10-12 | Issue Number: 1 | Registration Date: 2019-10-12

Nickerson, David W.; Rogers, Todd (2014): Replication data for: Political Campaigns and Big Data. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. http://doi.org/10.3886/E113926V1