Influence Policing: domestic digital influence campaigns and algorithmic strategic communications in UK law enforcement and homeland security

Horgan, Shane; Collier, Ben; Stewart, James; Thomas, Daniel

Abstract

This paper conceptualises an emerging model of algorithmic policing; ‘influence policing’. This harnesses the affordances of Internet platforms to conduct domestic digital influence campaigns for crime prevention. These campaigns use sophisticated targeted messaging to directly ‘nudge’ behaviour and shape the culture of specific groups. By targeting people using micro-level behavioural, personal-interest, and location-based data, influence campaigns aim to employ insights from behavioural psychology to prevent crime at a distance. We theorise this with an analysis of a dataset of more than 12,000 adverts and in-depth fieldwork with a dedicated police strategic communications team. Influence policing provides law enforcement with new capacities to craft and manicure hidden digital encounters with targeted publics, raising questions its democratic character and police accountability.

Citation

Horgan, S., Collier, B., Stewart, J., & Thomas, D. (online). Influence Policing: domestic digital influence campaigns and algorithmic strategic communications in UK law enforcement and homeland security. British Journal of Criminology, https://doi.org/10.1093/bjc/azae063

• Journal Article Type: Article
• Acceptance Date: Aug 13, 2024
• Online Publication Date: Oct 7, 2024
• Deposit Date: Aug 14, 2024
• Print ISSN: 0007-0955
• Electronic ISSN: 1464-3529
• Publisher: Oxford University Press
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1093/bjc/azae063