Digitalising violence: Decoding management in the rehabilitation of people who use drugs

This article investigates how China's smart drug-control systems, an emerging representation of digital platforms designed for community-based drug rehabilitation, reproduce and amplify structural violence, imposing punishment under the guise of improving the effectiveness of rehabilitation. Drawing on observation and semi-structured interviews conducted in three mainland Chinese cities, we identify three forms of violence embedded in the digital rehabilitation: labelling violence , which reduces complex individuals to algorithmically produced risk scores; silent violence , which recodes emotional withdrawal or digital non-participation as non-compliance; and classification violence , which repurposes recovery as a tool for state-led stability maintenance. These findings advance critical criminology and digital governance studies by demonstrating how digital technologies, overclaiming the balance of rehabilitation rationality and administrative efficiency, transform rehabilitative care into a mechanism of biopolitical control. Ultimately, we argue that digitalisation in rehabilitation does not necessarily signify progress or inclusion; rather, it often obscures and intensifies inequalities in new, technocratic forms. Research and policy implications of this study are also addressed.

Authors

Institutions

Publication Details

Journal
Punishment & Society
Published
2025-12-03
DOI
https://doi.org/10.1177/14624745251402959
Primary Topic
Criminal Justice and Corrections Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalising violence: Decoding management in the rehabilitation of people who use drugs

Apei Song, Yinghui Tong
Punishment & Society
Criminal Justice and Corrections Analysis
article

Digitalising violence: Decoding management in the rehabilitation of people who use drugs

Apei Song, Yinghui Tong
article en

Abstract

This article investigates how China's smart drug-control systems, an emerging representation of digital platforms designed for community-based drug rehabilitation, reproduce and amplify structural violence, imposing punishment under the guise of improving the effectiveness of rehabilitation. Drawing on observation and semi-structured interviews conducted in three mainland Chinese cities, we identify three forms of violence embedded in the digital rehabilitation: labelling violence , which reduces complex individuals to algorithmically produced risk scores; silent violence , which recodes emotional withdrawal or digital non-participation as non-compliance; and classification violence , which repurposes recovery as a tool for state-led stability maintenance. These findings advance critical criminology and digital governance studies by demonstrating how digital technologies, overclaiming the balance of rehabilitation rationality and administrative efficiency, transform rehabilitative care into a mechanism of biopolitical control. Ultimately, we argue that digitalisation in rehabilitation does not necessarily signify progress or inclusion; rather, it often obscures and intensifies inequalities in new, technocratic forms. Research and policy implications of this study are also addressed.

Punishment & Society
UNSW Sydney (AU), Zhejiang University (CN)
Openalex Percentile: Top 53%
Criminal Justice and Corrections Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digitalising violence: Decoding management in the rehabilitation of people who use drugs — Apei Song, Yinghui Tong · Punishment & Society (2025) | TGRS Research Map | TGRS