RT Article
T1 Artificial intelligence, digital capital, and epistemic domination on Twitter: A study of families affected by imprisonment
JF Punishment & society
VO 25
IS 1
SP 99
OP 121
A1 Ugwudike, Pamela 1969-
A2 Fleming, Jenny
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1826970568
AB Online Social Networking Sites (SNSs) and other Artificial Intelligence (AI) systems are transforming the epistemological foundations of justice systems and influencing knowledge production concerning criminal justice and its impact. This article focuses on a dimension of criminal justice which is the impact of imprisonment on families and seeks to unravel how knowledge about this problem is produced on SNSs. To this end, it draws on a study that explored conversational networks of key stakeholders on the SNS, Twitter. Building on insights from the study, the paper unravels interdependent sociotechnical dynamics that reproduce the offline marginality of affected families and operate as barriers to equitable knowledge production. Through its analysis of the dynamics, the paper provides new insights and advances the sparse criminological scholarship on the intersections of AI systems and the delivery of justice. It specifically highlights exclusionary epistemic processes that are fomented by the infrastructure of AI systems and the social contexts in which they are deployed.
K1 sociotechnical dynamics
K1 social media analytics
K1 Digital criminology
K1 data-driven algorithms and knowledge production
K1 computational criminology
K1 big data analytics
K1 artificial intelligence and justice systems
K1 algorithmic justice
DO 10.1177/14624745211014391