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The devil inside: candidates with low democratic commitment in Latin America

Incio Coronado, José Luis (2022) The devil inside: candidates with low democratic commitment in Latin America. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

This dissertation aims to contribute to our knowledge about political actors. First, I focus on politicians’ behavior during presidential campaigns. Taking advantage of public data from Twitter and novel tools from computational social science such as Machine Learning, I find that candidates not only engage in negative campaigning against other opponents but also negative campaigning against institutions with checks and balance functions. Moreover, I show that negative campaigning against checks and balance institutions is a proxy for candidates’ low democratic commitment. In the second chapter of this project, I demonstrate that there are negative consequences for countries’ democracy of electing a president that has signaled their low democratic commitment during the electoral campaign. The results suggest that these types of presidents make democratic backsliding more likely. Finally, in the third chapter, I explore how these candidates develop their low democratic commitment.I argue that candidates develop their political values during their early political socialization process. Likewise, I bring evidence that the presence of subnational authoritarian enclaves in democratic countries supplies candidates with a low democratic commitment to the national arena.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Incio Coronado, José Luisj.incio@pitt.eduJLI200000-0001-6866-0644
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairMorgenstern, Scottscott_morgenstern@pitt.edu
Committee MemberDing, Izayud30@pitt.edu
Committee MemberAmes, Barrybarrya@pitt.edu
Committee MemberPérez-Liñan, Aníbalaperezl1@nd.edu
Date: 16 June 2022
Date Type: Publication
Defense Date: 21 March 2022
Approval Date: 16 June 2022
Submission Date: 5 April 2022
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 144
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Political Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Democratization, Latin America, Machine Learning
Date Deposited: 16 Jun 2022 16:14
Last Modified: 16 Jun 2022 16:14
URI: http://d-scholarship.pitt.edu/id/eprint/42491

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