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Data inequalities and why they matter for development
Information Technology for Development ( IF 4.261 ) Pub Date : 2019-08-02 , DOI: 10.1080/02681102.2019.1650244
Jonathan Cinnamon 1
Affiliation  

ABSTRACT

The ‘data revolution’ marks a time of growing interest and investment in data – big, small, or otherwise. Critical attention to data is also proliferating, exposing the diverse ways that data produces inequality of opportunity and harm in society. This paper draws the nascent field of critical data studies into conversation with emerging narratives in data-for-development (D4D) to advance the conceptualization of data inequalities, explaining how they both align with and diverge from core tropes of digital inequalities research – and why this matters for development. The paper examines the causes, consequences, and potential solutions to three ‘data divides’ – access to data, representation of the world as data, and control over data flows – through examples of digital identity systems and national data infrastructures, user-generated data, and personal behavioral data produced through corporate platforms. This understanding provides a basis for future research, practice, and policymaking on data-related (in)equalities in development contexts and beyond.



中文翻译:

数据不平等及其对发展的重要性

摘要

“数据革命”标志着人们对数据的兴趣日益增长的时代,无论数据大小,无论其大小与否。对数据的批判关注也在激增,暴露了数据导致社会机会和伤害不平等的多种方式。本文将关键数据研究的新生领域与发展中数据(D4D)中新兴的叙事进行了对话,以推进数据不平等的概念化,并解释了它们如何与数字不平等研究的核心趋势相吻合和相异–以及为什么这对发展很重要。本文研究了三种“数据鸿沟”的原因,后果和可能的解决方案-数据访问作为数据的世界表示以及对数据流的控制–通过数字身份系统和国家数据基础设施,用户生成的数据以及通过公司平台生成的个人行为数据的示例。这种理解为将来在发展环境中及以后与数据相关的(不)平等问题进行研究,实践和制定政策提供了基础。

更新日期:2019-08-02
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