大数据,大问题:数据科学和新闻伦理中的新问题

Joshua Fairfield, Hannah Shtein
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引用次数: 70

摘要

随着大数据技术在新闻业的普及,无论是作为报道的主题还是作为新闻采集的工具,数据科学的伦理必须为媒体伦理提供信息,并被媒体伦理所告知。本文探讨了利用大数据技术进行伦理研究的新问题。它使用了W.D.罗斯提出的基于责任的框架,他对研究科学和媒体伦理都产生了重大影响。一个成功的框架必须提供稳定性和灵活性。如果没有稳定性,随着技术迅速转移成本,伦理上的预先承诺将会消失。没有灵活性,面对技术变革,传统方法将迅速过时。文章的结论是,Ross的责任为基础的方法既提供了面对快速技术变革的稳定性,又提供了创新的灵活性,以实现基本伦理原则的原始目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data, Big Problems: Emerging Issues in the Ethics of Data Science and Journalism
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.
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