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.

在线社交网站（SNS）和其他人工智能（AI）系统正在改变司法系统的认识论基础，并影响有关刑事司法及其影响的知识生产。本文关注的是刑事司法的一个方面，即监禁对家庭的影响，力图揭示如何在SNS上产生有关此问题的知识。为此，它基于一项研究，探索了SNS，Twitter上主要利益相关者的对话网络。基于研究的见解，本文揭示了相互依存的社会技术动态，这些动态再现了受影响家庭的离线边缘性，并成为公平知识生产的障碍。通过对动力学的分析，本文提供了新的见解，并在人工智能系统与正义的交汇方面发展了稀疏的犯罪学学术。它特别强调了由AI系统的基础结构和部署它们的社会环境所推动的排他性认识论过程。