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The use of Facebook by a Community Policing Forum to combat crime

Published: 28 September 2015 Publication History

Abstract

Crime is a reality that affects everyone, especially in South Africa that has one of the world's highest crime rates. A number of strategies have been undertaken by the South African society at large in the fight against crime. One of these was the establishment of Community Policing Forums (CPFs) which encourages communities to work with the South African Police Service (SAPS) to combat and ultimately reduce crime. A number of these CPFs have embraced Facebook to execute their mandate. Little research has been done on how Facebook is used in South Africa to fight crime. The aim of this study is to understand how CPFs use Facebook in their fight against crime by determining the type of information that is shared among themselves as well as how this information is shared. This was done by employing a thematic content analysis approach of a months' worth of Facebook posts of a particular CPF community in the East Rand of Gauteng, South Africa. This resulted in the analysis of 247 posts. This study found that the CPF community shares two types of information: firstly, information relating to the building of a cohesive community, which in terms of this research is defined as a community with a common vision to achieving more effective crime control. Secondly, information related to the creating of awareness of crime in the area. It was further shown that community members share information between different communities such as private security firms, other CPFs, and other communities dedicated to the fight against crime. They therefore used the power of Facebook to expand the boundaries of their immediate community. It was further found that even though the main operating platform for the CPF is Facebook, community members were encouraged to join the WhatsApp group of their local Neighbourhood Watch (NHW), which highlighted that CPFs operate on multiple platforms. The significance of this research is presented in the Crime Prevention Lifecycle which explains that within a cohesive community, crime can be reduced through the actions of community members. Further research is recommended to extend the understanding of CPFs' and other less structured communities' use of social media focusing on the integration of multiple platforms.

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Cited By

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  • (2024)An Analysis of Technological Applications in Community Policing and Their Performance Assessment Through A Systematic ReviewAdvances in Computing10.1007/978-3-031-75236-0_25(345-360)Online publication date: 22-Dec-2024
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cover image ACM Other conferences
SAICSIT '15: Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists
September 2015
423 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2015

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Author Tags

  1. Cohesive Community
  2. Community Policing Forum
  3. Crime Prevention
  4. Crime Prevention Lifecycle
  5. Facebook
  6. Gauteng
  7. Social Media
  8. South Africa

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SAICSIT '15

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SAICSIT '15 Paper Acceptance Rate 43 of 119 submissions, 36%;
Overall Acceptance Rate 187 of 439 submissions, 43%

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Cited By

View all
  • (2024)An Analysis of Technological Applications in Community Policing and Their Performance Assessment Through A Systematic ReviewAdvances in Computing10.1007/978-3-031-75236-0_25(345-360)Online publication date: 22-Dec-2024
  • (2023)Fuzzy Models to Show Crime Rates on MapsStreamlining Organizational Processes Through AI, IoT, Blockchain, and Virtual Environments10.4018/978-1-6684-8639-9.ch002(21-45)Online publication date: 30-Jun-2023
  • (2023)Deceptive Design Patterns in Safety Technologies: A Case Study of the Citizen AppProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581258(1-18)Online publication date: 19-Apr-2023
  • (2023)Publics of policing: expanding approaches to nodal policingPolicing and Society10.1080/10439463.2023.225592234:1-2(87-103)Online publication date: 24-Oct-2023
  • (2023)Facebook and drug driving: Does online sharing work against road safety countermeasures?Journal of Safety Research10.1016/j.jsr.2023.01.00885(86-94)Online publication date: Jun-2023
  • (2023)Towards a Socio-Technical Understanding of Police-Citizen InteractionsHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42286-7_18(324-345)Online publication date: 28-Aug-2023
  • (2022)Understanding Decisions to Share Minor Public Safety Incidents on Twitter Through a Collective Action Theory LensResearch Anthology on Managing Crisis and Risk Communications10.4018/978-1-6684-7145-6.ch036(730-747)Online publication date: 1-Jul-2022
  • (2022)The Necessary Yet Nebulous Nature of the Informal Security Sector in South AfricaThe Handbook of Security10.1007/978-3-030-91735-7_37(801-819)Online publication date: 23-Jun-2022
  • (2020)Using crowdsourcing for a safer society: When the crowd rulesEuropean Journal of Criminology10.1177/147737082091643919:4(692-711)Online publication date: 23-Apr-2020
  • (2020)Finding & Reviewing Community Policing Apps in AsiaProceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures10.1145/3391203.3391215(45-48)Online publication date: 25-Apr-2020
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