How the discourse of hatred in South Korea has changed and what is the effect of the discourse on the policymaking process? This article empirically examines the changes in the discourse of hared in South Korea from 2000 to 2021. Analyzing news big data based on the Latent Dirichlet Allocation(LDA) models, we found that the hatred related to politics has consistently received great attention. On the contrary, the salience of non-political hatred such as the hatred against LGBT, immigrants, men, and platforms fluctuates according to the occurrence of specific events. With the passage of time, new hatred topics including AI and COVID-19 emerge, but the existing types of hatred are observed even within the new themes. In addition, this article using logistic regression models demonstrates that there is a statistically and substantively significant relationship between the number of news articles concerning hatred against gender conflict and the probability of sponsoring bills about violence against women. Also, this article finds that male legislators compared to their female counterparts are more sensitive to the number of news articles about hatred.
This article utilizing unique data on 37,655 public complaints in South Korea from April 2021 to March 2022 aims to unveil the association between sentiments in public complaints or petitions and government response speed. We estimate sentiments in each complaint with five morphological analyzers and employ negative binomial regression models. The empirical results demonstrate that public complaints with the sentiment of Fear tend to receive faster governmental responses while complaints with the sentiment of Sorrow are more likely to be addressed slowly. The influence of the sentiment of Fear and Sorrow is consistently robust in logistic event history models, while the sentiment of Anger is not statistically significant anymore. The results contribute to the literature on political psychology by demonstrating that facing public complaints dominated by different sentiments can influence the efficiency of civil servants. At the same time, this article suggests providing periodical counseling and education for civil servants who continuously face waves of negative sentiments to treat public complaints expertly.
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