Data reflexivity as work-in-progress

Ranjana Das
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Abstract

Datafication, across private and public sectors demonstrably touches upon, and indeed, alters, with profound consequences, diverse domains of people’s daily lives. However, also, increasingly, critical scholarship on datafication is the locus of careful attention to not solely platform and algorithmic power but also people’s sociocultural practices to make sense of, cope with, feel and show new literacies with data and datafied systems. It is in this context of genuinely listening to what people do with, through and around data, and to what end, that this special issue invites us to ponder the notion of data reflexivity. In this paper, I adopt a working definition of data reflexivity as – a vernacular and relational set of practices and strategies in relation to data and data infrastructures, working with, within and sometimes against platforms, where, such practices and strategies morph and change across the life course, through a web of cross-cutting relationships with individuals, communities and institutions. I draw upon illustrative instances from a project in England which explored parents’ perspectives on personal data and algorithms in the context of raising children. First – I suggest that we approach data reflexivity through a relational lens rather than as an individual and inward-looking strategy, where such relationality is experienced in relation to institutions, individuals, families, friendships, and networks. Second – I suggest that we look at data reflexivity as a fluid, lifelong journey – where a life course approach enables us to consider how data reflexivity morphs, adapts and transitions through the course of life, involving numerous acts of unspectacular, ephemeral agency. I conclude with a reminder that attention to data reflexivity, or indeed, more broadly, people’s agency, must not mean a shift of focus away from scrutinising and holding accountable, powerful institutions, both public and private.
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数据反身性是正在进行的工作
私营和公共部门的数据化显然触及并改变了人们日常生活的各个领域,产生了深远的影响。然而,关于数据化的批判性学术研究也越来越多地关注不仅是平台和算法的力量,而且还有人们的社会文化实践,通过数据和数据化系统来理解、应对、感受和展示新的素养。正是在这一背景下,本特刊邀请我们思考 "数据反身性 "的概念,即真正倾听人们如何使用、通过和围绕数据以及达到什么目的。在本文中,我将数据反身性定义为--与数据和数据基础设施相关的一系列实践和策略的方言和关系,与平台合作,在平台内工作,有时甚至反对平台,在整个生命过程中,通过与个人、社区和机构的交叉关系网,这些实践和策略会发生变形和变化。我借鉴了英格兰一个项目中的实例,该项目探讨了父母在养育子女过程中对个人数据和算法的看法。首先,我建议我们从关系的角度来看待数据的反思性,而不是将其作为一种个人的、内向型的策略,因为这种关系性是与机构、个人、家庭、友谊和网络相关联的。其次,我建议我们将数据反身性视为一个流动的、终生的旅程--在这个旅程中,生命历程方法使我们能够考虑数据反身性如何在生命历程中变形、适应和过渡,其中涉及无数不引人注目的、短暂的代理行为。最后,我想提醒大家,关注数据反身性,或者更广义地说,关注人们的能动性,并不意味着不再关注对强大的公共和私人机构的审查和问责。
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来源期刊
CiteScore
5.80
自引率
7.10%
发文量
98
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