Can Latin American Voters see the Future?

Author:

Thompson-Collart BrianORCID,Dufresne YannickORCID,Brie EvelyneORCID

Abstract

The present study examined whether Argentinian citizens could predict election results at the sub-national level. We targeted Argentinian Twitter users in seven provinces with polls using Twitter Ads. Argentinian Twitter users constitute a high-ability subgroup that possesses several characteristics that enhance citizen forecasting competence. The polls asked citizens to predict what party would win the first round of the upcoming presidential election in their province. We present a preliminary citizen forecast of the first round of the 2023 Argentinian presidential election. The forecast demonstrates three preliminary findings. First, citizens expect a competitive election in their respective provinces. Second, citizens in almost all the provinces expect an opposition victory. Finally, a high degree of uncertainty surrounds these predictions, with no party obtaining a greater than 50 percent probability of winning in any of the provinces.

Publisher

Ediciones Universidad de Salamanca

Reference50 articles.

1. Andrade-Bayona, C. (2022). Técnicas para la realización de pronósticos electorales mas precisos. South American Research Journal, 1(2). https://doi.org/10.5281/zenodo.6383377

2. Choosing the Lesser Evil: Forecasting Presidential Elections in Peru

3. Basyouni, S. (2021). Social networking sites and political knowledge: Factors that affect individuals’ knowledge acquisition from Facebook and Twitter. International Journal of Innovation, Creativity, and Change, 15(10), 259-275.

4. Beatriz Fernández, C., & Rodríguez-Virgili, J. (2019). Electors are from Facebook, political geeks are from Twitter: Political information consumption in Argentina, Spain, and

5. Electors are from Facebook, political geeks are from Twitter: Political information consumption in Argentina, Spain and Venezuela

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