Epistemic Dislocation in AI Journalism: Fragmented Authority and the Reconfiguration of Knowledge Production

This study examines how artificial intelligence (AI) reshapes epistemic authority in contemporary journalism. Drawing on 75 in-depth interviews with journalists, editors, media owners, and AI developers in the United States, it argues that AI does not simply automate journalistic tasks or redistribute professional roles. Instead, AI produces a condition of epistemic dislocation, in which the production, validation, and control of knowledge become fragmented and misaligned across human actors, technological systems, and organizational structures. The analysis identifies three interrelated dynamics: (1) the externalization of epistemic authority despite centralized organizational decision-making, (2) the coexistence of increasing epistemic delegation to AI and the performative reassertion of professional journalistic authority, and (3) the decoupling of knowledge production from accountability through fragmented governance structures. The present study advances a new conceptual framework for understanding AI journalism and offers implications for professional authority, ethical governance, and accountability in increasingly AI-mediated news production.

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Publication Details

Journal
Journal of Broadcasting & Electronic Media
Published
2026-06-28
DOI
https://doi.org/10.1080/08838151.2026.2694717
Primary Topic
Media Studies and Communication
Type
article
Field-Weighted Citation Impact
0.00

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article

Epistemic Dislocation in AI Journalism: Fragmented Authority and the Reconfiguration of Knowledge Production

Chang Sup Park, Hyerim Jo
Journal of Broadcasting & Electronic Media
Media Studies and Communication
article

Epistemic Dislocation in AI Journalism: Fragmented Authority and the Reconfiguration of Knowledge Production

Chang Sup Park, Hyerim Jo
article en

Abstract

This study examines how artificial intelligence (AI) reshapes epistemic authority in contemporary journalism. Drawing on 75 in-depth interviews with journalists, editors, media owners, and AI developers in the United States, it argues that AI does not simply automate journalistic tasks or redistribute professional roles. Instead, AI produces a condition of epistemic dislocation, in which the production, validation, and control of knowledge become fragmented and misaligned across human actors, technological systems, and organizational structures. The analysis identifies three interrelated dynamics: (1) the externalization of epistemic authority despite centralized organizational decision-making, (2) the coexistence of increasing epistemic delegation to AI and the performative reassertion of professional journalistic authority, and (3) the decoupling of knowledge production from accountability through fragmented governance structures. The present study advances a new conceptual framework for understanding AI journalism and offers implications for professional authority, ethical governance, and accountability in increasingly AI-mediated news production.

Journal of Broadcasting & Electronic Media
University at Albany, State University of New York (US), University of Oklahoma (US)
University of Oklahoma
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Media Studies and Communication
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Epistemic Dislocation in AI Journalism: Fragmented Authority and the Reconfiguration of Knowledge Production — Chang Sup Park, Hyerim Jo · Journal of Broadcasting & Electronic Media (2026) | TGRS Research Map | TGRS