Algorithmic precarity in cultural work
Algorithmic precarity in cultural work
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DOI：
10.1177/2057047320959855
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发表时间：
2020-09-01
影响因子：
3.6
通讯作者：
Duffy, Brooke Erin
中科院分区：
文献类型：
--
作者：
Duffy, Brooke Erin
虽然媒体和文化产业的工作长期以来一直被认为是不稳定的，但平台化的过程和逻辑为创意劳动经济注入了新的不稳定因素。这种不安全感的来源之一是平台的算法，它以反复无常、神秘莫测甚至有偏见的方式构建了文化内容的生产、流通和消费。因此，文化生产者的条件和体验越来越多地由他们对平台不断发展的算法系统的理解--以及他们的预期--所决定。在此背景下，我呼吁数字文化和社会的研究者们思考这种“算法不稳定性”模式是如何加剧平台时代文化工作的不稳定性的。考虑到算法的波动性和更广泛的跨平台生态，可以帮助我们将关键的干预措施发展到一个创造性的经济中，这个经济的特点是平台和劳动者之间的权力分配非常不均衡，而且这些劳动者的权力越来越大。
While work in the media and cultural industries has long been considered precarious, the processes and logics of platformization have injected new sources of instability into the creative labor economy. Among the sources of such insecurity are platforms' algorithms, which structure the production, circulation, and consumption of cultural content in capricious, enigmatic, even biased ways. Accordingly, cultural producers' conditions and experiences are increasingly wrought by their understandings-and moreover their anticipation-of platforms' ever-evolving algorithmic systems. Against this backdrop, I urge fellow researchers of digital culture and society to consider how this mode of "algorithmic precarity" exacerbates the instability of cultural work in the platform era. Considering the volatility of algorithms and the wider cross-platform ecology can help us to develop critical interventions into a creative economy marked by a profoundly uneven allocation of power between platforms and the laborers who populate-and increasingly-power them.