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Unmasking the Authoritarian Mob Boss: A Critical Analysis of Donald Trump's Political Leadership.
- Source :
-
Social Sciences (2076-0760) . Aug2024, Vol. 13 Issue 8, p397. 13p. - Publication Year :
- 2024
-
Abstract
- This article comprehensively examines Donald Trump's political leadership, arguing that his tenure as the 45th President of the United States exhibited characteristics commonly associated with authoritarian mob bosses. Drawing upon various empirical evidence and theoretical political science frameworks, the study sheds light on the underlying dynamics that shaped Trump's leadership style and its implications for democratic governance. The analysis begins by contextualizing Trump's rise to power within the erosion of democratic norms. It explores how his rhetoric, characterized by demagoguery and the demonization of opponents, mirrors the tactics employed by mob bosses to consolidate their power and suppress dissent. Moreover, the study uncovers the striking similarities between Trump's administration management and the hierarchical structures of organized crime, highlighting his reliance on loyalty, personal connections, and a disregard for institutional checks and balances. Furthermore, this research delves into Trump's autocratic tendencies, as evidenced by his disdain for the free press, attacks on the judiciary, and attempts to undermine the integrity of democratic processes. It reveals how these actions align with the strategies employed by authoritarian leaders to silence opposition and perpetuate their dominance. By examining Trump's presidency through process tracing, this study contributes to our understanding of the complex relationship between authoritarianism and the erosion of democratic institutions. The findings underscore the urgent need for continued scholarly and public scrutiny of leaders who exhibit traits akin to authoritarian mob bosses to safeguard the principles of democratic governance and protect the integrity of liberal democracies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20760760
- Volume :
- 13
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Social Sciences (2076-0760)
- Publication Type :
- Academic Journal
- Accession number :
- 179382514
- Full Text :
- https://doi.org/10.3390/socsci13080397