CEU Electronic Theses and Dissertations, 2024
| Author | Gvilia, Nino |
|---|---|
| Title | Exploring Political Discourse Dynamics in the Hybrid Regime: Quantitative Text Analysis of the Prime Ministers Speeches of Georgia (2016 - 2023) |
| Summary | The development of automatic tools for quantitative text analysis provides opportunities for incorporating speech analysis into an additional area of research exploring democratic backsliding and democratic erosion. The public rhetoric of political leaders might influence the regime developments, bolstering or undermining democratic principles. While comparative studies reveal differences in language styles used by autocratic and democratic leaders, the public discourse used by leaders in hybrid regime, illustrating commitments to consolidate democracy over reinforcing the transitional regime remains understudied. The paper utilizes insights from comparative studies on linguistic styles of political leaders and presents an exploration of the quantitative analysis of the government leaders’ speeches in a hybrid regime of Georgia, from 2016-2023. The paper focuses on a case study to analyze the dynamics of the public discourse over time reflecting Prime Minister’s public positioning regarding the liberal versus illiberal values. Incorporating dictionary-term analysis of liberal/illiberal terms, the study allows to identify potential linguistic shifts along the changes in country’s liberal democracy index, shedding light on leaders' proclaimed commitments to liberal democracy. The study also analyzes main trends in language use and examines whether the language styles are tailored to local and international audiences. The paper reasserts that speech analysis can serve as an indicator of leadership’s positions in hybrid regime contexts, illustrating their inclination towards the regime type and can unveil important insights for future research endeavors. |
| Supervisor | Schneider, Q. Carsten |
| Department | Political Science MA |
| Full text | https://www.etd.ceu.edu/2024/gvilia_nini.pdf |
Visit the CEU Library.
© 2007-2021, Central European University