An evaluative study on mobile crowdsourcing applications for crime watch

Izyana Ariffin, B. Solemon, Wan Mohamad Luqman Wan Abu Bakar
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引用次数: 8

Abstract

ICT technological revolution has inadvertently changed the way people share and disseminate information. Today, information sharing has been made possible globally; people are empowered to contribute skills, knowledge and expertise regardless of their physical location, hence, the emergence of crowdsourcing. This new concept is evolving in many fields ranging from world mapping, health monitoring, disaster relief to crime prevention. Many studies have shown that crowdsourcing serves as a promising new approach in gathering information. Success stories by Google, OpenStreetMap, and Wikimapia inspired organizations including local authorities to try this new method for their own use. In this paper, we evaluate 6 mobile applications which use crowdsourcing to report crime related incidents. The evaluation is done based on 7 criteria that are found to be important based on literatures. These include map viewing, crime listing, incident sharing, authority reporting, media sharing, tutorial and supported system. A conclusive evaluation is performed and future works related to this research are discussed at the end of the paper.
犯罪监测移动众包应用的评价研究
信息通信技术革命在不经意间改变了人们分享和传播信息的方式。今天,信息共享已经成为可能;无论身在何处,人们都有能力贡献技能、知识和专业知识,因此出现了众包。这一新概念在许多领域不断发展,从世界制图、健康监测、救灾到预防犯罪。许多研究表明,众包是收集信息的一种很有前途的新方法。谷歌、开放街道地图和维基百科的成功案例激励了包括地方当局在内的组织尝试这种新方法。在本文中,我们评估了6个使用众包来报告犯罪相关事件的移动应用程序。评价是根据文献中发现的7个重要标准进行的。这些功能包括地图查看、犯罪列表、事件共享、权威报告、媒体共享、教程和支持系统。最后对本文的研究成果进行了结论性评价,并对今后的研究工作进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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