Dommett, K. orcid.org/0000-0003-0624-6610 (2026) Does data drive campaign decision-making? Theorizing campaign practice and the future of election campaigns. Communication Theory. qtaf037. ISSN: 1050-3293
Abstract
Modern election campaigning is often described as “data-driven,” but there are signs that data may not always inform decision-making. This article focuses on the decision-making component of campaigns and provides a new theorisation of this previously neglected component of data-driven campaigns. Arguing that decision-making is affected by a range of contextual, agential and organizational factors, I call for qualitative analysis of campaign practice that is needed to understand how decisions are made. Applying this theoretical account, I consider the likely future of election campaigning, reflecting particularly on the potential for automation. Specifically, I identify where automation is likely to emerge and conclude that rote-like decision-making is unlikely to entirely define the practices of future campaigns. Collectively this article offers new theoretical insight into an overlooked aspect of modern campaigning - decision-making - and provides offers a foundation for more accurate predictions about the future of campaigns.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2026. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Sociological Studies, Politics and International Relations |
| Date Deposited: | 27 Jan 2026 09:02 |
| Last Modified: | 27 Jan 2026 09:02 |
| Status: | Published online |
| Publisher: | Oxford University Press (OUP) |
| Refereed: | Yes |
| Identification Number: | 10.1093/ct/qtaf037 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:236854 |
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