Title
Analyzing Polarization through Social Media with Artificial Intelligence: The Mexican Presidential Election in 2018
Abstract
The research question that leads this effort is: How do Twitter messages impact the polarization of emotions in the presidential election in Mexico in 2018? We collected 6,515 tweets posted by the five candidates that stood for the presidency of Mexico in 2018. We developed a methodology based on artificial intelligence techniques using machine learning and classifiers to predict the emotions of each candidate and the effects of those emotions on the other candidates. The results show that the candidate with the greatest polarization in the generated emotions won the electoral contest and that the emotions generated in Twitter affected other candidates.
Year
DOI
Venue
2019
10.1145/3325112.3328214
20th Annual International Conference on Digital Government Research
Keywords
Field
DocType
Artificial Intelligence, Political Polarization, Sentiment Analysis, Social Media
Social media,Research question,Presidential election,Computer science,Public relations,Sentiment analysis,CONTEST,Presidency,Artificial intelligence,Polarization (politics)
Conference
ISBN
Citations 
PageRank 
978-1-4503-7204-6
0
0.34
References 
Authors
0
4