Crime applications and social machines
Crime applications and social machines
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犯罪应用程序和社交机器
DOI：
10.1145/2487788.2488075
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Byrne Evans M
中科院分区：
文献类型：
--
作者：
Byrne Evans M
作者探讨了与英国（U.K.）犯罪报告和记录系统，目前产生开放的犯罪数据。开放犯罪数据的可用性似乎创造了一个潜在的数据生态系统，这将鼓励众包或创建社交机器，以应对其中一些问题。虽然这样的解决方案是诱人的，我们认为，事实上，理论上的解决方案带来了相当引人注目的问题，突出了众包作为解决伯纳斯-李的“社会约束”的一种手段的一些局限性。“作者提出了一个思想实验-Gendankenexperiment-为了探索社会机器在这样一个敏感的空间中的影响，无论是好的还是坏的，并提出了一个网络科学的观点来挑选这个思想实验的后果作为一种理论方法来描述社会机器。
The authors explore some issues with the United Kingdom (U.K.) crime reporting and recording systems which currently produce Open Crime Data. The availability of Open Crime Data seems to create a potential data ecosystem which would encourage crowdsourcing, or the creation of social machines, in order to counter some of these issues. While such solutions are enticing, we suggest that in fact the theoretical solution brings to light fairly compelling problems, which highlight some limitations of crowdsourcing as a means of addressing Berners-Lee's "social constraint." The authors present a thought experiment -- aGendankenexperiment- in order to explore the implications, both good and bad, of a social machine in such a sensitive space and suggest a Web Science perspective to pick apart the ramifications of this thought experiment as a theoretical approach to the characterisation of social machines.