The Potential of Big Data for the Cross-National Study of Political Behavior
Bibliographic Data
| ID | 9951983 |
|---|---|
| Authors | Russell J Dalton (0000-0002-5973-4135, University of California, Irvine, corresponding author) |
| Year | 2016 |
| Volume | 46 |
| Issue | 1 |
| Pages | 8-20 |
| Publication date | 2016-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0020-7659 • E-ISSN: 1557-9336 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/00207659.2016.1130410 |
| OpenAlex | W2301402668 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
The U.S. presidential elections of 2008 and 2012 were a coming out party for Big Data applications in electoral studies. The Obama campaign developed a model of identifying individual voters that guided their campaign strategy to a successful outcome. This essay considers whether this model is exportable to elections and other aspects of political behavior in cross-national research. There is uneven development to date, but a growing awareness of the potential of Big Data electoral campaigns. More broadly, the essay discusses the current potential and limits of Big Data for the cross-national study of political behavior. The potential exceeds the actual applications, and there are major challenges for academic, theory-testing research using Big Data methods. It is unclear whether Big Data can successfully address these challenges
Big data · Economics · Outcome (game theory · Political economy · Political science · Politics · Presidential system · Public relations · Sociology · Computer Science · Electoral Systems and Political Participation · Law · Media Influence and Politics · Qualitative Comparative Analysis Research
Political Conflict in Western Europe
Twitter Revolutions? Addressing Social Media and Dissent
Predicting Elections with Twitter
Forecasting elections with non-representative polls
Bowling alone
Big data
Hacking the Electorate
A New Engagement
Role of the New Media in the Arab Spring
Time and Country Variation in Contentious Politics
A conceptual map of political participation
Changing Mass Priorities
The Individual–Institutional Nexus of Protest Behaviour
Drawing Inferences and Testing Theories with Big Data
No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science
From Big Data to Knowledge in the Social Sciences
Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2016 - 2018 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |