02/10/2026
๐ ๐๐จ๐ฎ๐ฏ๐๐ฅ๐ฅ๐ ๐ฉ๐ฎ๐๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐'๐๐ซ๐ญ๐ข๐๐ฅ๐ ๐๐ ๐. ๐๐ข๐๐ซ๐ข๐๐ค๐ฑ : ยซ๐ญ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐: ๐จ ๐๐๐๐๐๐๐๐-๐๐๐๐๐
๐๐๐๐๐๐๐๐ ๐๐ ๐ฌ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐
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๐๐๐๐๐๐๐๐๐๐๐๐ ยป ๐
โก๏ธ๐๐ฬ๐๐ฬ๐ซ๐๐ง๐๐ : Dierickx, L., Gehrke, M., & Lindรฉn, C.-G. (2026). From normative principles to epistemic governance: A workflow-based analysis of European journalism ethics in datafied environments. Journalism, 0(0).
๐ ๐๐ฬ๐ฌ๐ฎ๐ฆ๐ฬ : Data journalism has received limited attention in journalism ethics, where it is often assumed that established normative principles apply directly to data-driven practices. However, data journalism relies on complex data processes that introduce distinct epistemic challenges related to bias, interpretation, and accountability. This study examines data journalism ethics as a form of epistemic governance embedded across key stages of the data journalism workflow, from data gathering to data visualisation, drawing on a thematic analysis of 37 ethical codes from 32 European countries. The findings show that, while ethical codes consistently articulate principles such as accuracy, fairness, and transparency, they rarely operationalise them in relation to methodological decisions shaping data-driven reporting. The epistemic governance framework serves as a bridge between data journalism ethics and AI ethics, as many AI-related ethical challenges originate in data practices and are intensified by automation.
๐๐๐ข๐๐ง : https://resic.ltc.ulb.be/journalisme-et-communication/publications/publications-darticles/nouvelle-publication-darticle-%C2%ABfrom-normative-principles-to-epistemic-governance-a-workflow-based-analysis-of-european-journalism-ethics-in-datafied-environments-%C2%BB
