Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News

2026-06-09

AI Summary

This study addresses the transparency dilemma faced by news organizations when deploying generative AI: current disclosure practices often fail to build reader trust and may even widen information asymmetries. Through controlled experiments and human–AI interaction design, the authors propose a user-agency-centered disclosure framework featuring on-demand detail expansion, visualizations of AI usage proportions, institutional-level signals, and explicit “no AI” labels. Findings reveal that overly detailed disclosures can paradoxically erode trust, whereas interfaces enabling user-controlled access to transparency information significantly enhance perceived credibility. The work advances a novel design paradigm for AI transparency in journalism that effectively balances journalistic accountability with audience needs.

Abstract

As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust. Current practice offers two approaches: brief one-line labels or detailed disclosures specifying human oversight, editorial accountability, and error reporting mechanisms. Neither achieves journalists' goal of building trust through transparency. An existing controlled experiment with 34 news readers show that detailed disclosures trigger a \textit{transparency dilemma}, reducing trust rather than increasing it, and risk introducing dark patterns that readers scroll past with the illusion of transparency. One-line disclosures avoid this effect but can create an information gap, prompting readers to expend cognitive effort searching for signs of AI involvement that the disclosure indicates but does not explain. Yet readers are not rejecting transparency, they proposed disclosure designs centered on user agency: detail-on-demand interactions, proportional AI-ratio visualizations, outlet-level signals, and explicit "no AI" labels. I argue that this disconnect between what practitioners believe is responsible disclosure and what users actually need is a design problem for the HCI community.

Problem

• AI disclosure
• transparency
• news
• reader trust
• HCI

Innovation

• AI disclosure
• transparency dilemma
• user agency
• generative AI in journalism
• human-AI interaction