算法生态学的步骤

IF 2.8 2区 社会学 Q1 ANTHROPOLOGY
W. Schinkel
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引用次数: 0

摘要

寻找算法的人类学探险队经常两手空空地返回。他们面临着对象的挑战:在研究算法时要研究什么?在这篇文章中,我汇集了一些文献,概述了如何在社会科学中研究算法这个问题的一个可能答案。我认为我们应该研究的是算法生态学。我概述了算法生态的五种模式,并回顾了相关文献:(a)想象,(b)基础设施,(c)接口,(d)身份,以及(e)投资和兴趣。这里提供的推测命题是,算法是生态的内在组成部分,它们是在算法生态的所有模式中制定的。《人类学年度评论》第52卷预计最终在线出版日期为2023年10月。请参阅http://www.annualreviews.org/page/journal/pubdates用于修订估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steps to an Ecology of Algorithms
Anthropological expeditions seeking out algorithms frequently return empty-handed. They are confronted with the challenge of the object: what to study when studying algorithms? In this article, I draw together a number of literatures to outline one possible answer to the question of how to study algorithms in social science. I argue that what we should study are algorithmic ecologies. I sketch five modalities of algorithmic ecologies and review concomitant literatures: ( a) imaginaries, ( b) infrastructures, ( c) interfaces, ( d) identities, and ( e) investments and interests. The speculative propositions offered here are that algorithms are immanent to ecologies and that they are enacted across all the modalities of algorithmic ecologies. Expected final online publication date for the Annual Review of Anthropology, Volume 52 is October 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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来源期刊
CiteScore
5.00
自引率
3.60%
发文量
32
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