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Can text messages reduce incarceration in rural and vulnerable populations

Bibliographic Data

ID11684166
AuthorsEmily Owens (0000-0002-8908-6001, Criminology, Law and Society, and Economics at University of California – Irvine Irvine California USA, corresponding author), CarlyWill Sloan (West Point University West Point New York USA)
Year2023
Volume42
Issue4
Pages992-1009
Publication date2023-07-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Policy Analysis and Management (JOURNAL)
Journal identifiersISSN: 0276-8739 • E-ISSN: 1520-6688
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pam.22505
OpenAlexW4384197572
LanguageEN
Citations received1
References cited18

Reducing failures to appear (FTA) in court is a top priority for criminal justice practitioners and advocates. However, existing work on reducing FTAs through text message reminders focuses on large urban jurisdictions and defendants who are housed. Using a field study in Shasta County, California, we evaluate whether text message outreach can increase court appearances for housed and unhoused populations. We find housed defendants randomly assigned to the treatment group were 10% less likely to miss their next scheduled court date than defendants in the control group. We find no statistical difference in the FTA rate of unhoused individuals assigned to treatment or control groups, and cannot rule out large positive or negative effects. We find that improving the quality of contact information in court records could lead to large reductions in FTAs. Partnering with local social service providers may not, but more research is needed

Business · Control (management · Criminal justice · Criminology · Economic Justice · Internet privacy · Outreach · Political science · Quality (philosophy · Service (business · Text messaging · Work (physics · Computer Science · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Engineering · Homelessness and Social Issues · Law · Psychology · Social Work · Marketing

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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