SENTIMENT ANALYSIS IN NEWS MEDIA HEADLINES IN 2019 PRESIDENTIAL ELECTIONS: EXPLORATORY RELIABILITY STUDY ANALYSIS

EMILIO RECART; TOMÁS ALVES SALGUEIRO; FRANCO AGUSTÍN BERNAL; JUAN MANUEL PÉREZ; DAMIÁN FURMAN; PABLO NICOLÁS FERNÁNDEZ LARROSA

Simposio; 9th MBB Symposium 2022; 2022

Max Planck Institute

Introduction: In recent years, social networks offer the facility to access political headnews instantly. Despite the growing information, there has been a spread of fake news generating a biased perception to the politics. According to this, new computational models have been developed to identify and predict subjective perception towards social politic content.Reliability has been a widely used tool in measuring agreements that different people arrive at the presentation of the same stimulus. By the other hand, sentimental analysis is a useful tool for analyzing electoral behavior. Methods: The purpose of this study was to evaluate the subjective perception of individuals for each presidential formula/force of principal Argentina´snewspapers during 2019 elections using reliability coefficient agreement. For this, 3 participants were recruited to classify 2257 headlines of the principal country's newspapers as positive, neutral, or negative according to their perception. To minimize ideological bias, each formula/force was replaced by a "Target". Results: Krippendorf nominal reliability alpha metric yielded adequate inter agreements between the participants. With this tool, we found that Alberto Fernandez (the winning candidate) was mentioned with positive connotation in 387,66 headlines (negative: 239,66), while Mauricio Macri (the outgoing president and the second candidate) in 320,66 ones (negative: 430,66). Other candidates did not exceed 140 positive mentions (negative: