, Cape Town is one of the most violent cities in the world
, , 2018.
, Police and communities must fight crime together
MEC Nomusa Dube-Ncube condemns the brutal murder of Councillor Vusi Ntombela. South African Government, 2015. ,
The use of Facebook by a Community Policing Forum to combat crime, Proc SAICSIT '15, vol.2, issue.2, pp.1-10, 2015. ,
Using Facebook to find missing persons: A crowd-sourcing perspective, Lecture Notes in Computer Science, vol.9844, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01702184
Following #JillMeagher: Collective meaning-making in response to crime events via social media. Crime, Media, Cult An Int J, p.174165901772127, 2017. ,
STS Perspective MIS Problems and Failures : A Socio-Technical Perspective Part I : The Causes By : Robert P, Bostrom, vol.1, issue.3, pp.17-32, 2016. ,
, The Social Media Landscape in South Africa, 2018.
Self-Organizing by Digital Volunteers in Times of Crisis, 29th Annual CHI Conference on Human Factors in Computing Systems 2011 Proceedings ,
Contextualizing Community Crime Control: Race, Geography, and Configurations of Control in Four Communities, Criminology, vol.55, issue.1, pp.112-148, 2017. ,
Crime and cohesive communities, p.2017, 2006. ,
Pulling us apart? The association between fear of crime and social cohesion in South Africa, South African Crime Q, issue.55, pp.49-60, 2016. ,
Investigating Crime-To-Twitter Relationships in Urban Environments -Facilitating a Virtual Neighborhood Watch. Twenty Second Eur Conf Inf Syst, pp.1-16, 2014. ,
General Household Survey, p.2017, 2016. ,
Neighborhoods and violent crime: a multilevel study of collective efficacy. Science (80-), vol.277, pp.918-942, 1997. ,
Why Do Citizens Participate in Community Crime Prevention Activities ?, pp.287-98, 2014. ,
Defining and Measuring Success for Online Crime-Prevention Communities, AMCIS 2011 Proceedings -All Submissions, 2011. ,
, SAPS. Services | SAPS (South African Police Service, 2018.
Community cohesion and violent predatory Victimization: A theoretical extension and cross-national test of opportunity theory, Social Forces, vol.79, pp.683-706, 2000. ,
, Institute for Security Studies, 2016.
RoboCop : Crime Classification and Prediction in San Francisco, 2014. ,
Risky localities: Exploring a methodology for measuring socioeconomic characteristics of high murder areas. South African Crime Quarterly, 2016. ,
, Men! F seeks crowdsourcing help in B bombing case: I these two. McCullagh, C
Automatic crime prediction using events extracted from twitter posts, Lect Notes Comput Sci, vol.7227, pp.231-239, 2012. ,
Predicting crime using Twitter and kernel density estimation, Decis Support Syst, vol.61, issue.1, pp.115-140, 2014. ,
The relevance of social media as it applies in South Africa to crime prediction, Inst Electr Electron Eng, pp.1-7, 2013. ,
Identifying vehicle descriptions in microblogging text with the aim of reducing or predicting crime, IEEE Int Conf Adapt Sci Technol ICAST, 2013. ,
, Number of smartphone users in South Africa from, 2014.
, , 2018.
, The Role of the Public in Strengthening Crime Prevention and Criminal Justice. In: 13th United Nation Congress on Crime Prevention and Criminal Justice, p.2, 2015.