Abstract
AbstractIn the past decade we have witnessed the failure of traditional polls in predicting presidential election outcomes across the world. To understand the reasons behind these failures we analyze the raw data of a trusted pollster which failed to predict, along with the rest of the pollsters, the surprising 2019 presidential election in Argentina. Analysis of the raw and re-weighted data from longitudinal surveys performed before and after the elections reveals clear biases related to mis-representation of the population and, most importantly, to social-desirability biases, i.e., the tendency of respondents to hide their intention to vote for controversial candidates. We propose an opinion tracking method based on machine learning models and big-data analytics from social networks that overcomes the limits of traditional polls. This method includes three prediction models based on the loyalty classes of users to candidates, homophily measures and re-weighting scenarios. The model achieves accurate results in the 2019 Argentina elections predicting the overwhelming victory of the candidate Alberto Fernández over the incumbent president Mauricio Macri, while none of the traditional pollsters was able to predict the large gap between them. Beyond predicting political elections, the framework we propose is more general and can be used to discover trends in society, for instance, what people think about economics, education or climate change.
Funder
Special Fund for Fundamental Scientific Research of the Beijing Colleges in CUEB
HUMANE-AI-NET
Publisher
Springer Science and Business Media LLC
Subject
Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems
Reference46 articles.
1. Tourangeau R, Conrad FG, Couper MP. The science of web surveys. New York: Oxford University Press; 2013.
2. Kennedy C, Blumenthal M, Clement S, Clinton JD, Durand C, Franklin C, McGeeney K, Miringoff L, Olson K, Rivers D, et al. An evaluation of the 2016 election polls in the United States. Public Opin Q. 2018;82(1):1–33.
3. Durand C, Blais A. Quebec 2018: a failure of the polls? Can J Polit Sci/Revue Canadienne de Science Politique. 2020;53(1):133–50.
4. Duncan P, The Guardian. How the pollsters got it wrong on the EU referendum. 2016. https://www.theguardian.com/politics/2016/jun/24/how-eu-referendum-pollsters-wrong-opinion-predict-close. Accessed 14 Oct 2021.
5. Cohn N. The Upshot, New York Times. Why Polls Have Been Wrong Recently. 2016. https://www.nytimes.com/2016/01/08/upshot/why-polls-have-been-wrong-recently.html. Accessed 14 Oct 2021.
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