Journal of Mass Media Ethics · 2014 · 90 citations · 9 references
Social SciencesData ScienceData EthicsMedia StudiesResearch EthicsDigital JournalismJournalistic EthicsMedia EthicsPublication EthicsBig Data EthicsEthical JournalismEthical Research PracticeEthical Use Of DataNews Ethics
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, requiring a framework that is both stable and flexible to adapt to rapid technological change. The article investigates emerging ethical problems in research using big data techniques. The authors apply W.D. Ross’s duty‑based ethical framework to analyze these problems.
Abstract 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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CRITICAL QUESTIONS FOR BIG DATA
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