Big Data, Big Problems: Emerging Issues in the Ethics of Data Science and Journalism

被引:46
|
作者
Fairfield, Joshua [1 ]
Shtein, Hannah [1 ]
机构
[1] Washington & Lee Univ, Lexington, VA 24450 USA
来源
JOURNAL OF MASS MEDIA ETHICS | 2014年 / 29卷 / 01期
关键词
D O I
10.1080/08900523.2014.863126
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
As big data techniques become widespread in journalism, both as the subject of reporting and as newsgathering tools, the ethics of data science must inform and be informed by media ethics. This article explores emerging problems in ethical research using big data techniques. It does so using the duty-based framework advanced by W.D. Ross, who has significantly influenced both research science and media ethics. A successful framework must provide stability and flexibility. Without stability, ethical precommitments will vanish as technology rapidly shifts costs. Without flexibility, traditional approaches will rapidly become obsolete in the face of technological change. The article concludes that Ross's duty-based approach both provides stability in the face of rapid technological change and flexibility to innovate to achieve the original purpose of basic ethical principles.
引用
收藏
页码:38 / 51
页数:14
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