沟通dataism

Q3 Social Sciences
C. Adamczyk
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引用次数: 2

摘要

摘要在21世纪的头二十年里,数据主义的意识形态产生了巨大的影响,影响了新兴的大数据分析技术的实际应用以及公众对它们的接受方式。在这篇文章中,我借鉴了威廉·R·布朗的《社会干预修辞学》,将数据主义意识形态解释为一个沟通过程。我认为,数据主义包括注意力、权力和需求的组成话语,它们结合在一起,创造、具体化和保持对植根于技术自由主义和技术乌托邦主义的大数据技术的理解。这些系统之间的互动有助于保持公众对大数据的普遍积极看法,将其命名为一组创新技术,利用大量以前未使用的数据来推进社会和经济决策。最后,我建议,数据主义话语中的修辞干预生态系统有助于解释大数据是如何在丑闻不断的情况下变得越来越受欢迎的,并认为将数据主义解释为一种沟通过程为研究和批判性干预提供了丰富的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communicating dataism
ABSTRACT The ideology of dataism has been highly influential during the first two decades of the 21st century, impacting emergent Big Data analytic technologies’ practical application and how the public receives them. In this article, I draw upon William R. Brown's Rhetoric of Social Intervention to interpret the dataism ideology as a communication process. I argue dataism comprises constituent discourses of attention, power, and need that combine to create, reify, and maintain an understanding of Big Data technologies rooted in technoliberalism and technoutopianism. Interplay between these systems has helped keep intact a generally positive public view of Big Data, naming it a collection of innovative technologies that use large quantities of previously unused data to progress social and economic decision-making. I conclude by suggesting the ecosystem of rhetorical interventions into dataism's discourses helps explain how Big Data has grown more popular despite repeated scandals and argue interpreting dataism as a communication process offers fruitful ground for research and critical intervention.
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来源期刊
Review of Communication
Review of Communication Social Sciences-Communication
CiteScore
1.70
自引率
0.00%
发文量
16
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