This article shows the results of an interdisciplinary research applied to the predictive capacity of social networks, specifically Twitter, in the legal primaries in Chile in 2017. Through the incorporation of computational intelligence, we monitored the interaction of all Chilean users who mentioned at least once some of the five candidates competing to design a forecast model that considered the context of political communication, which delivered results under 2% in the mean absolute error (MAE), with more precision than the electoral polls.
|Translated title of the contribution||Social networks, computational intelligence and electoral prediction: The case of the presidential primaries of Chile 2017|
|Number of pages||16|
|State||Published - Dec 2017|