Can We Forecast Presidential Election Using Twitter Data? An Integrative Modelling Approach
Author:
Affiliation:
1. Department of Geography, University of Georgia, Athens, GA, USA
2. Department of Geography, University of Wisconsin-Madison, Madison, WI, USA
3. Department of Integrated Science and Technology, James Madison University, Harrisonburg, VA, USA
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/19475683.2020.1829704
Reference43 articles.
1. The Time for Change Model and the 2000 Election
2. Anuta, D., J. Churchin, and J. Luo. 2017. “Election Bias: Comparing Polls and Twitter in the 2016 Us Election.” ArXiv Preprint ArXiv:1701.06232.
3. Understanding the Political Representativeness of Twitter Users
4. Predicting and Interpolating State‐Level Polls Using Twitter Textual Data
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