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The relevance of social media as it applies in South Africa to crime prediction

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dc.contributor.author Featherstone, Coral
dc.date.accessioned 2013-08-05T07:53:01Z
dc.date.available 2013-08-05T07:53:01Z
dc.date.issued 2013-05
dc.identifier.citation Featherstone, C. 2013. The relevance of social media as it applies in South Africa to crime prediction. In: IST-Africa 2013 Conference & Exhibition, Nairobi, Kenya, 29-31 May 2013 en_US
dc.identifier.uri http://hdl.handle.net/10204/6923
dc.description IST-Africa 2013 Conference & Exhibition, Nairobi, Kenya, 29-31 May 2013 en_US
dc.description.abstract Being able to identify and predict crime trends or track criminal movement would help anyone interested in preventing criminal activity or being able to assess where crime enforcement is needed, particularly in crimes where constant policing is impossible, such as cable theft. Many neighbourhoods in South Africa have formed voluntary community policing groups, who keep in touch using SMS and two way radios. Some have adopted websites and even Twitter as a means of being more easily in touch quickly and transparently. The influential groups recognising the value and using Twitter include Crime Line (@CrimeLineZA) and the South African Police Service (@SAPoliceService). This paper argues that existing technologies can make communication more useful in terms of data gathering, prediction and spotting broader patterns. An assessment is done to determine if South African people are already using Twitter to report crime and to find out what information they are sharing, with the goal of estabishing whether it could be useful as a source of information for the prevention of crime. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;10416
dc.subject Crime trends prediction en_US
dc.subject Crime prevention methods en_US
dc.subject Social media applications en_US
dc.subject Social networking en_US
dc.subject Data mining en_US
dc.subject Crime prediction en_US
dc.title The relevance of social media as it applies in South Africa to crime prediction en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Featherstone, C. (2013). The relevance of social media as it applies in South Africa to crime prediction. http://hdl.handle.net/10204/6923 en_ZA
dc.identifier.chicagocitation Featherstone, Coral. "The relevance of social media as it applies in South Africa to crime prediction." (2013): http://hdl.handle.net/10204/6923 en_ZA
dc.identifier.vancouvercitation Featherstone C, The relevance of social media as it applies in South Africa to crime prediction; 2013. http://hdl.handle.net/10204/6923 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Featherstone, Coral AB - Being able to identify and predict crime trends or track criminal movement would help anyone interested in preventing criminal activity or being able to assess where crime enforcement is needed, particularly in crimes where constant policing is impossible, such as cable theft. Many neighbourhoods in South Africa have formed voluntary community policing groups, who keep in touch using SMS and two way radios. Some have adopted websites and even Twitter as a means of being more easily in touch quickly and transparently. The influential groups recognising the value and using Twitter include Crime Line (@CrimeLineZA) and the South African Police Service (@SAPoliceService). This paper argues that existing technologies can make communication more useful in terms of data gathering, prediction and spotting broader patterns. An assessment is done to determine if South African people are already using Twitter to report crime and to find out what information they are sharing, with the goal of estabishing whether it could be useful as a source of information for the prevention of crime. DA - 2013-05 DB - ResearchSpace DP - CSIR KW - Crime trends prediction KW - Crime prevention methods KW - Social media applications KW - Social networking KW - Data mining KW - Crime prediction LK - https://researchspace.csir.co.za PY - 2013 T1 - The relevance of social media as it applies in South Africa to crime prediction TI - The relevance of social media as it applies in South Africa to crime prediction UR - http://hdl.handle.net/10204/6923 ER - en_ZA


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