The Algorithms Beat:

The Algorithms Beat:
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算法击败:

DOI:
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发表时间:
2018
期刊:
The Data Journalism Handbook
影响因子:
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通讯作者:
N. Diakopoulos
N. Diakopoulos
中科院分区:
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文献类型:
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作者:
N. Diakopoulos

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算法大规模运行,经常影响大量人群,在公共和私营部门越来越多的领域中做出重要的、有时是不可预测的决策。新闻业正在出现一个独特的节拍,包括对通过这种算法施加的社会力量的调查。本章探讨了这一趋势,并为希望报道算法的计算和数据记者提供了四个有新闻价值的角度:歧视和不公平,错误和失误,违反社会和法律的规范,以及人为滥用。每一个都用例子来说明。然后概述了调查算法的方法选择和挑战,重点是审计技术。最后,提供了几个具体的建议,以帮助初出茅庐的数据记者开始思考他们自己对算法节拍的调查。
Operating at scale and often affecting large groups of people, algorithms make consequential and sometimes contestable decisions in an increasing range of domains throughout the public and private sectors. A distinct beat in journalism is emerging to encompass the investigation of societal power exerted through such algorithms. This chapter examines this beat and offers four newsworthy angles for computational and data journalists looking to cover algorithms: discrimination and unfairness, errors and mistakes, social and legal norm violations, and human misuse. These are each illustrated with examples. Methodological options and challenges for investigating algorithms are then outlined, focusing on audit techniques. Finally, several concrete recommendations are offered to help the fledgling data journalist get started thinking about their own investigations on the algorithms beat.