Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data
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DOI: 10.1515/spp-2017-0006
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References listed on IDEAS
- Nicholas Beauchamp, 2017. "Predicting and Interpolating State‐Level Polls Using Twitter Textual Data," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 490-503, April.
- Settle, Jaime E. & Bond, Robert M. & Coviello, Lorenzo & Fariss, Christopher J. & Fowler, James H. & Jones, Jason J., 2016. "From Posting to Voting: The Effects of Political Competition on Online Political Engagement," Political Science Research and Methods, Cambridge University Press, vol. 4(2), pages 361-378, May.
- Huberty, Mark, 2015. "Can we vote with our tweet? On the perennial difficulty of election forecasting with social media," International Journal of Forecasting, Elsevier, vol. 31(3), pages 992-1007.
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Cited by:
- Sequeira, Sandra & Nardotto, Mattia, 2021. "Identity, Media and Consumer Behavior," CEPR Discussion Papers 15765, C.E.P.R. Discussion Papers.
- Simon Rudkin & Lucy Barros & Paweł Dłotko & Wanling Qiu, 2024.
"An economic topology of the Brexit vote,"
Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 601-618, March.
- Pawel Dlotko & Lucy Minford & Simon Rudkin & Wanling Qiu, 2019. "An Economic Topology of the Brexit vote," Papers 1909.03490, arXiv.org, revised Dec 2021.
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