The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Political Campaigns and Big Data
Open accessAbstract
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.
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Understanding the Effect of Accuracy on Trust in Machine Learning Models
Yin, M., Wortman Vaughan, J., & Wallach, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300509 · Cited by 527
Transparency and trust in artificial intelligence systems
Schmidt, P., Biessmann, F., & Teubner, T. (2020) · Journal of Decision Systems · doi:10.1080/12460125.2020.1819094 · Cited by 440
Big data in IBD: a look into the future
Olivera, P., Danese, S., Jay, N., Natoli, G., & Peyrin-Biroulet, L. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0102-5 · Cited by 151
Bright, J., Hale, S., Ganesh, B., Bulovsky, A., Margetts, H., & Howard, P. (2020) · Communication Research · doi:10.1177/0093650219872394 · Cited by 104
Preaching to the choir: ideology and following behaviour in social media
Rivero, G. (2019) · Contemporary Social Science · doi:10.1080/21582041.2017.1325924 · Cited by 26
Metadata
- Authors
- Nickerson, D. W., & Rogers, T.
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 2014-05-01
- Volume
- 28
- Issue
- 2
- Pages
- 51-74
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W1990170056
- Cited by
- 278
- References
- 30
- FWCI
- 100.05
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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