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Nouvelle publication d'article : «From normative principles to epistemic governance: A workflow-based analysis of European journalism ethics in datafied environments »

Publié le 30 septembre 2026 – Mis à jour le 30 septembre 2026

Et si l'éthique journalistique cessait d'être une affaire de valeurs individuelles pour s'inscrire dans les processus de production ? C'est tout l'enjeu de la gouvernance épistémique à l'ère de l'IA.

Références : Dierickx, L., Gehrke, M., & Lindén, C.-G. (2026). From normative principles to epistemic governance: A workflow-based analysis of European journalism ethics in datafied environments. Journalism, 0(0).
DOI: https://doi.org/10.1177/14648849261492006 

Résumé : 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.

Lien : https://journals.sagepub.com/doi/10.1177/14648849261492006

Date(s)
le 28 septembre 2026

Date de première édition.