RT Article
T1 Influence Policing: Domestic Digital Influence Campaigns and Algorithmic Strategic Communications in UK Law Enforcement and Homeland Security
JF The British journal of criminology
VO 65
IS 3
SP 480
OP 503
A1 Horgan, Shane
A1 Collier, Ben
A1 Stewart, James
A1 Thomas, Daniel R.
A2 Collier, Ben
A2 Stewart, James
A2 Thomas, Daniel R.
LA English
YR 2025
UL https://krimdok.uni-tuebingen.de/Record/1928257208
AB This paper conceptualizes 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 theorize 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 about its democratic character and police accountability.
K1 Influence
K1 Policing
K1 algorithmic governance
K1 Ai
K1 platforms
K1 Social Media
DO 10.1093/bjc/azae063