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Essays in Persuasion and Propaganda

Ilin, Dmytro (2023) Essays in Persuasion and Propaganda. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

This dissertation consists of three essays about persuasion and propaganda. In the first chapter, I consider a Bayesian persuasion model with a privately-informed receiver. I study how the informativeness of the private signal affects the sender's optimal persuasion strategy and the receiver's expected welfare. In the second chapter, I investigate the impact of uninformed fake news producers on the benefits that news consumers receive from unbiased media sources. Finally, in the third chapter, I perform a natural language processing analysis of Russian propaganda during the first six months of the full-scale invasion of Ukraine in 2022. I study how the narratives and intentions evolved over time and how they differed between Western and Russian audiences.

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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ilin, Dmytrodmi12@pitt.edudmi12
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairVan Weelden, Richardrichard.vanweelden@gmail.com
Committee MemberRigotti, Lucaluca@pitt.edu
Committee MemberSharifvaghefi, Mahradsharifvaghefi@pitt.edu
Committee MemberDuraj, Jetlirjed169@pitt.edu
Committee MemberBest, Jamesjabest@andrew.cmu.edu
Date: 6 September 2023
Date Type: Publication
Defense Date: 14 April 2023
Approval Date: 6 September 2023
Submission Date: 31 May 2023
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 124
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Economics
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Bayesian persuasion, propaganda, machine learning
Date Deposited: 06 Sep 2023 16:06
Last Modified: 06 Sep 2023 16:06
URI: http://d-scholarship.pitt.edu/id/eprint/45017

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