Dommett, K. (2025) Data-driven campaigning. In: Nai, A., Grömping, M. and Wirz, D., (eds.) Elgar Encyclopedia of Political Communication. Edward Elgar Publishing, pp. 370-373. ISBN: 9781035301430.
Abstract
Data-driven campaigning is widely seen as the latest iteration of modern campaigning practice. Reflecting the rise of digital technology and the availability of a raft of new analytics techniques, it is commonly argued that data has become the essential component of modern campaigns. And yet, whilst increasingly prominent in academic scholarship and public debate, there are important gaps in our understanding. Reviewing what we know about the definition, practice and significance of this activity, this entry distils a number of limitations in existing knowledge that affect the claims that can be made about data-driven campaigning.
Metadata
| Item Type: | Book Section |
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| Copyright, Publisher and Additional Information: | © 2025 The Editors and Contributors Severally. This is an author-produced version of a entry subsequently published in Elgar Encyclopedia of Political Communication. Uploaded with permission from the copyright holder.It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
| Keywords: | Data; Data-driven; Campaigning; Elections; Cambridge Analytica; Democracy |
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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 |
| Funding Information: | Funder Grant number Horizon 2020 822166 Economic and Social Research Council (ESRC) UNSPECIFIED |
| Date Deposited: | 06 Jan 2026 17:19 |
| Last Modified: | 04 Feb 2026 15:09 |
| Status: | Published |
| Publisher: | Edward Elgar Publishing |
| Refereed: | Yes |
| Identification Number: | 10.4337/9781035301447.vol1.00094 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:236022 |
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