US elections: How could predictions be so wrong?-Reference-Cited by-同舟云学术

US elections: How could predictions be so wrong?

Published:2016-12 Issue:4 Volume:4 Page:125-134
ISSN:2050-3318
Container-title:Journal of Marketing Analytics
language:en
Short-container-title:J Market Anal

Author:

Breur Tom

Publisher

Springer Science and Business Media LLC

Subject

Marketing,Statistics, Probability and Uncertainty,Strategy and Management,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1057/s41270-016-0010-2.pdf

Reference9 articles.

1. Adamson, C. (2016) Probability and Analytics: Reactions to 2016 Election Forecasts. http://blog.chrisadamson.com/2016/11/probability-and-analytics-reactions-to.html

2. Bessi and Ferraro (2016) Social Bots Distort the 2016 U.S. Presidential Election Online Discussion. First Monday, Vol. 21, No 11. http://firstmonday.org/ojs/index.php/fm/article/view/7090/5653

3. Enli, G. and Skogerbø, E. (2013) Personalized campaigns in party-centred politics: Twitter and Facebook as arenas for political communication. Information, Communication & Society 16(5): 757–774.

4. Gibson, R. and McAllister, I. (2006) Does cyber-campaigning win votes? Does cyber–campaigning win votes? Online communication in the 2004 Australian election. Journal of Elections, Public Opinion and Parties 16(3): 243–263.

5. Howard, P. (2006) New Media Campaigns and the Managed Citizen. New York: Cambridge University Press.

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