Journalism, Media, and Artificial Intelligence: Let Us Define the Journey

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dc.contributor.authorMehmood, Rashid
dc.date.accessioned2025-10-23T03:39:17Z
dc.date.available2025-10-23T03:39:17Z
dc.date.issued2025
dc.description284 p.
dc.description.abstractThis Reprint examines the rapidly evolving relationship between journalism, media, and artificial intelligence. It brings together cutting-edge research exploring how AI is reshaping news production, investigative practices, audience engagement, governance, and ethical standards. Contributions span topics such as generative AI, algorithmic content delivery, disinformation detection, AI-assisted storytelling, and public trust in machine-authored news. This Reprint combines conceptual, methodological, and applied perspectives from authors across 12 countries, reflecting the global and interdisciplinary nature of current scholarship in this field. Structured around five key thematic domains, it also offers a synthesis of insights and proposes a framework to guide future research. This collection serves as a timely resource for researchers, practitioners, educators, and policymakers seeking to understand and shape journalism in the age of AI. It highlights both the opportunities and the responsibilities that come with integrating AI into democratic information systems.
dc.identifier.isbn9783725848447
dc.identifier.urihttps://oerrepository.ntt.edu.vn/handle/298300331/1120
dc.language.isoen
dc.publisherMDPI
dc.subjectartificial intelligence
dc.subjectjournalism
dc.subjectmedia studies
dc.subjectnews automation
dc.subjectinvestigative reporting
dc.subjectaudience perception
dc.subjectdisinformation
dc.subjectethics in AI
dc.subjectmedia governance
dc.subjectgenerative AI
dc.titleJournalism, Media, and Artificial Intelligence: Let Us Define the Journey
dc.typeBook
dcterms.licenseCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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