Leveraging crime reporting in Metro Manila using unsupervised crowd-sourced data: A case for the iReport framework

Fabito, Bernie S.; Lacasandile, Angelique D.; Trillanes, Arlene O.; Yabut, Emeliza R.

doi:10.1109/iccerec.2017.8226681

Cited by 7 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Like the other forms of personal safety-focused apps detailed above, much of the literature devoted to such consumer-facing crowd-crime-mapping apps comes from developers within the computer sciences and represents not evaluation studies but gray literature detailing the features of a proposed or recently designed app (Ballesteros et al, 2014; Fabito et al, 2016, 2017; Furtado et al, 2010, 2012; Maghanoy, 2017; Shah et al, 2011). There were, however, two exceptions to this.…”

Section: Findings: a Typology Of Crime Prevention Appsmentioning

confidence: 99%

“…Crime reporting apps allow users to easily report various forms of crime (Agangiba & Agangiba, 2013; Fabito et al, 2017; Mwiya et al, 2015; Oduor et al, 2014). Unlike crime-mapping apps, which also involve users reporting crimes, crime reporting apps do not tend to provide access to user-submitted data on reported events.…”

Section: Findings: a Typology Of Crime Prevention Appsmentioning

confidence: 99%

See 1 more Smart Citation

Primary Crime Prevention Apps: A Typology and Scoping Review

Wood

Ross

Johns

2021

Trauma, Violence, & Abuse

View full text Add to dashboard Cite

In the last decade, an array of smartphone apps have been designed to prevent crime, violence, and abuse. The evidence base of these apps has, however, yet to analyzed systematically. To rectify this, the aims of this review were (1) to establish the extent, range, and nature of research into smartphone apps with a primary crime prevention function; (2) to locate gaps in the primary crime prevention app literature; and (3) to develop a typology of primary crime prevention apps. Employing a scoping review methodology and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, studies were identified via Web of Science, EBSCOhost, and Google Scholar. We included English-language research published between 2008 and 2020 that examined smartphone applications designed explicitly for primary crime prevention. Sixty-one publications met our criteria for review, out of an initial sample of 151 identified. Our review identified six types of crime prevention app examined in these publications: self-surveillance apps, decision aid apps, child-tracking apps, educational apps, crime-mapping/alert apps, and crime reporting apps. The findings of our review indicate that most of these forms of primary crime prevention apps have yet to be rigorously evaluated and many are not evidence-based in their design. Consequently, our review indicates that recent enthusiasm over primary crime prevention apps is not supported by an adequate evidence base.

show abstract