Datatrust: Or, the political quest for numerical evidence and the epistemologies of Big Data
Datatrust: Or, the political quest for numerical evidence and the epistemologies of Big Data
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数据信任：或者说，对数字证据和大数据认识论的政治追求
DOI：
10.1177/2053951716649398
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发表时间：
2016
影响因子：
8.5
通讯作者：
Judith Simon
中科院分区：
文献类型：
--
作者：
Gernot Rieder;Judith Simon
最近，人们对所谓的基于证据的政策制定重新产生了兴趣。受到大数据宏伟前景的吸引，政府官员似乎越来越倾向于尝试更多数据驱动的治理形式。然而，尽管大数据的兴起及其相关后果一直是不同学科关注的主要问题，但人们很少尝试更好地理解这一现象的历史基础。这篇简短的评论通过将当前对数字证据的推动置于更广泛的社会政治背景下来解决这一差距，展示大数据科学的认识论主张如何与特定形式的信任、真理和客观性相交叉。我们的结论是，监管机构对数字的信任可以归因于一种独特的政治文化，一种被普遍的公众不信任和不确定性所破坏的代议制民主。
Recently, there has been renewed interest in so-called evidence-based policy making. Enticed by the grand promises of Big Data, public officials seem increasingly inclined to experiment with more data-driven forms of governance. But while the rise of Big Data and related consequences has been a major issue of concern across different disciplines, attempts to develop a better understanding of the phenomenon's historical foundations have been rare. This short commentary addresses this gap by situating the current push for numerical evidence within a broader socio-political context, demonstrating how the epistemological claims of Big Data science intersect with specific forms of trust, truth, and objectivity. We conclude by arguing that regulators' faith in numbers can be attributed to a distinct political culture, a representative democracy undermined by pervasive public distrust and uncertainty.