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A method for evaluating cognitively informed micro-targeted campaign strategies: An agent-based model proof of principle

Madsen, JK; Pilditch, TD; (2018) A method for evaluating cognitively informed micro-targeted campaign strategies: An agent-based model proof of principle. PLoS ONE , 13 (4) , Article e0193909. 10.1371/journal.pone.0193909. Green open access

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Abstract

In political campaigns, perceived candidate credibility influences the persuasiveness of messages. In campaigns aiming to influence people’s beliefs, micro-targeted campaigns (MTCs) that target specific voters using their psychological profile have become increasingly prevalent. It remains open how effective MTCs are, notably in comparison to population-targeted campaign strategies. Using an agent-based model, the paper applies recent insights from cognitive models of persuasion, extending them to the societal level in a novel framework for exploring political campaigning. The paper provides an initial treatment of the complex dynamics of population level political campaigning in a psychologically informed manner. Model simulations show that MTCs can take advantage of the psychology of the electorate by targeting voters favourable disposed towards the candidate. Relative to broad campaigning, MTCs allow for efficient and adaptive management of complex campaigns. Findings show that disliked MTC candidates can beat liked population-targeting candidates, pointing to societal questions concerning campaign regulations.

Type: Article
Title: A method for evaluating cognitively informed micro-targeted campaign strategies: An agent-based model proof of principle
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0193909
Publisher version: https://doi.org/10.1371/journal.pone.0193909
Language: English
Additional information: © 2018 Madsen, Pilditch. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10048964
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