Big Data from the bottom up
Big Data from the bottom up
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DOI：
10.1177/2053951714539277
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发表时间：
2014-07-01
影响因子：
8.5
通讯作者：
Powell, Alison
中科院分区：
文献类型：
--
作者：
Couldry, Nick;Powell, Alison
这篇短文认为，要充分回应“大数据”对治理的影响，需要比“算法力量”理论迄今为止所允许的更多地关注代理性和反身性。它通过两个对比的例子来阐述这一点：社会学研究社会行为者使用分析来实现自己的社会目标（例如，通过社区组织），以及研究行为者试图建立比现有信息经济更开放的公民干预的信息经济（例如，在环境领域）。本文最后考虑了可能将这些实证研究置于背景中的更广泛的规范，并提出可以根据声音的概念来理解它们，尽管声音作为规范的实际实施意味着声音有时必须通过透明度的概念来考虑。
This short article argues that an adequate response to the implications for governance raised by 'Big Data' requires much more attention to agency and reflexivity than theories of 'algorithmic power' have so far allowed. It develops this through two contrasting examples: the sociological study of social actors used of analytics to meet their own social ends (for example, by community organisations) and the study of actors' attempts to build an economy of information more open to civic intervention than the existing one (for example, in the environmental sphere). The article concludes with a consideration of the broader norms that might contextualise these empirical studies, and proposes that they can be understood in terms of the notion of voice, although the practical implementation of voice as a norm means that voice must sometimes be considered via the notion of transparency.