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https://www.doi.org/10.47305/JLIA2282087a

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The post-truth phenomenon infiltrating the US political system, media, and populace: the critical thinking analysis about donald Trump's political leadership

[journal article]

Aryati Arbay, Evi
Santoso Widodo, Ari

Abstract

Donald J. Trump, one of the 2016 US presidential candidates, is thought to have benefited from political fact-doctoring in his attempt to diminish his adversary's reputation using the post-truth phenomena. This research aimed to identify and analyze post-truth phenomena that infiltrated the politica... view more

Donald J. Trump, one of the 2016 US presidential candidates, is thought to have benefited from political fact-doctoring in his attempt to diminish his adversary's reputation using the post-truth phenomena. This research aimed to identify and analyze post-truth phenomena that infiltrated the political system, media, and the American people during Donald J. Trump's leadership. This study used a qualitative approach with a critical thinking analysis method. The findings found that individual rationality's post-truth disrupted and then directed to online information impulses, in which people tended to seek information that supported their own opinions, particularly on issues connected to Donald J. Trump's leadership in all sectors of policy, including irrelevant facts or reality and the use of language increasingly exploited by hyperbole without a clear basis reference.... view less

Classification
Political Process, Elections, Political Sociology, Political Culture

Free Keywords
Post-Truth; Post-Trust; US Political System; Political Leadership; Critical Thinking Analysis; Donald Trump

Document language
English

Publication Year
2022

Page/Pages
p. 87-107

Journal
Journal of Liberty and International Affairs, 8 (2022) 2

ISSN
1857-9760

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 3.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.