Against carceral data collection in response to anti-Asian violences
Bibliographic Data
| ID | 7667928 |
|---|---|
| Authors | Rachel Kuo (0000-0002-6918-8916, University of North Carolina at Chapel Hill, corresponding author), Matthew Bui (0000-0002-2815-404X, University of Michigan) |
| Year | 2021 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/20539517211028252 |
| OpenAlex | W3176417812 |
| Language | EN |
| Citations received | 4 |
| References cited | 15 |
This commentary reflects on recent instances of anti-Asian violence and state responses to redress violence through data-driven strategies. Data collection often presents itself as an appealing strategy, due to impacted communities’ desires for evidence and metrics to substantiate political claims. Yet, data collection can bolster the carceral state. This commentary takes an antagonistic approach to policing, including the ongoing creation of data infrastructures by—and for—law enforcement through hate crimes legislation. We critically discuss the challenges and possibilities in building towards anti-carceral responses amidst ongoing racial violence and crisis
Computer security · Criminology · Data collection · Enforcement · Law and economics · Law enforcement · Legislation · Political science · Politics · Redress · Social science · Sociology · Computer Science · Criminal Justice and Corrections Analysis · Law · South Asian Studies and Conflicts · Southeast Asian Sociopolitical Studies
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |