Approaching public perceptions of datafication through the lens of inequality: a case study in public service media
Approaching public perceptions of datafication through the lens of inequality: a case study in public service media
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DOI：
10.1080/1369118x.2020.1736122
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发表时间：
2020-03
期刊：
影响因子：
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通讯作者：
H. Kennedy;Robin Steedman;Rhianne Jones
中科院分区：
文献类型：
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作者：
H. Kennedy;Robin Steedman;Rhianne Jones
摘要在关键数据研究的新兴领域，人们越来越认识到，并非所有人都平等地经历了数据处理的负面影响。特别是关于数据和歧视问题的研究突出表明，在数据驱动的系统中，已经在社会上不平等的人口如何受到歧视。在其他地方，公众对数据化的看法越来越感兴趣，学术研究人员有兴趣对数据在社会中的新角色产生“自下而上”的理解，非学术利益相关者热衷于建立对数据驱动系统的积极看法。然而，对公众看法的研究很少涉及不平等问题，而不平等问题在数据和歧视研究中至关重要。本文将这两个问题结合起来，通过不平等的透镜探讨公众对不平等的看法，重点是这些看法中的理解和感受之间的关系。本文借鉴了实证焦点小组研究，探讨观众如何看待登录访问BBC数字服务所实现的数据实践。该文件显示了如何不平等有关的年龄，残疾/能力，贫困及其交叉点发挥了作用，在形成的看法，这些社会不平等告知的理解和感受的数据实践中的复杂和多样的方式。它的结论与反思的意义，这些研究结果为未来的研究和数据相关的政策。
ABSTRACT In the emerging field of critical data studies, there is increasing acknowledgement that the negative effects of datafication are not experienced equally by all. Research on data and discrimination in particular has highlighted how already socially unequal populations are discriminated against in data-driven systems. Elsewhere, there is growing interest in public perceptions of datafication, amongst academic researchers interested in producing ‘bottom up’ understandings of the new roles of data in society and non-academic stakeholders keen to establish positive perceptions of data-driven systems. However, research into public perceptions rarely engages with the issue of inequality which is so central in data and discrimination scholarship. Bringing these two issues together, this paper explores public perceptions of datafication through the lens of inequality, focusing on the relationship between understandings and feelings within these perceptions. The paper draws on empirical focus group research into how audiences perceive the data practices that signing in to access BBC digital services enable. The paper shows how inequalities relating to age, dis/ability, poverty and their intersections played a role in shaping perceptions and that these social inequalities informed understandings of and feelings about data practices in complex and diverse ways. It concludes with reflections on the significance of these findings for future research and for data-related policy.