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Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance

机译:众包智慧城市:在城市治理中使用大型地理社交媒体指标

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Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data (particularly derived from social media) is applied uncritically to urban governance via the ideas and practices of ?¢????smart cities?¢????. This essay reviews both the historical depth of central ideas within smart city governance ?¢????particular the idea that enough data/information/knowledge can solve society problems?¢????but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning behind the goal of urban betterment is largely driven by technology advocates and neoliberalism rather than the strong social justice themes associated with earlier applications of data to cities. Geosocial media data and metrics derived from them can provide useful insight and policy direction. But one must be ever mindful that metrics don?¢????t simply measure; in the process of deciding what is important and possible to measure, these data are simultaneously defining what cities are.
机译:利用大数据更好地理解城市问题是一个充满挑战的方法论和理论问题。但是,当大数据(尤其是来自社交媒体的数据)通过“智慧城市”的思想和实践被不加批判地应用于城市治理时,也可能会造成麻烦。本文不仅回顾了智慧城市治理中中心思想的历史深度(尤其是认为足够的数据/信息/知识可以解决社会问题),而且还探讨了最新版本与众不同的方式。 。即,城市改善目标背后的动机和意识形态基础很大程度上是由技术拥护者和新自由主义推动的,而不是与将数据早期应用到城市相关的强烈的社会正义主题。地理社交媒体数据和从中得出的指标可以提供有用的见解和政策指导。但是必须永远谨记指标不能简单地衡量;在决定什么是重要和可衡量的过程中,这些数据同时在定义什么城市。

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