Role of the media in the 2023 electoral agenda

Emilio Recart, Danai Broggi, Damian Furman, Juan Manuel Perez and Pablo Nicolás Fernandez Larrosa

SCT Proceedings in Interdisciplinary Insights and Innovations, 2024, vol. 2, 10.56294/piii2024300

Abstract: Text sentiment analysis is a valuable tool in natural language processing, allowing the inference of emotional valuations in texts. Initially designed for English tweets, we have adapted these algorithms to analyze Spanish news headlines 1. During the 2019 election, major candidates received increased media attention and were the subject of more positive coverage 2. In our current study, we analyzed 12,059 news headlines published by mainstream media during the 2023 election. We observed that 58.35% of the headlines mentioned Milei, followed by 29.54% Massa, and 10.76% Bullrich, while Bregman and Schiaretti had a lower presence. We excluded the latter from the analysis due to their low support. The Kruskal-Wallis analysis showed significant differences in mean positivity among the remaining candidates (H=10.63; p

Date: 2024
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