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Targeting Your Preferences

Modelling Micro-Targeting for an Increasingly Diverse Electorate

Bibliographic Data

ID15347641
AuthorsToby D Pilditch (0000-0003-1679-7440, University of Oxford, corresponding author), Toby Pilditch, Jens Koed Madsen (0000-0003-2405-8496, University College London)
Year2021
Volume24
Issue1
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Artificial Societies and Social Simulation (JOURNAL)
Journal identifiersISSN: 1460-7425 • E-ISSN: 1460-7425
PublisherJournal of Artificial Societies and Social Simulation (PUBLISHER)
DOI10.18564/jasss.4452
OpenAlexW4319307954
LanguageEN
Citations received5
References cited8

The use of data to inform and run political campaigning has become an inescapable trend in recent years. In attempting to persuade an electorate, micro-targeted campaigns (MTCs) have been employed to great e ect through the use of tailored messaging and selective targeting. Here we investigate the capacity of MTCs to deal with the diversity of political preferences across an electorate. More precisely, via an Agent-Based Model we simulate various diverse electorates that encompass single issue, multiple issue, swing, and disengaged voters (among others, including combinations thereof) and determine the relative persuasive e icacy of MTCs when pitted against more traditional, population-targeting campaigns. Taking into account the perceived credibility of these campaigns, we find MTCs highly capable of handling greater voter complexity than shown in previous work, and yielding further advantages beyond traditional campaigns in their capacity to avoid ine icient (or even backfiring) interactions -even when fielding a low credibility candidate

Economics · Decision-Making and Behavioral Economics · Economic and Environmental Valuation

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Unique citing works5
Citations per year1,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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