Karaman, Sinem YelesYildirim, Elif2025-11-102025-11-1020252373-69922373-700Xhttps://doi.org/10.1080/23736992.2025.2566118https://hdl.handle.net/20.500.13091/10971The rapid growth of artificial intelligence (AI) technologies in journalism has transformed news production, content distribution, and ethical responsibilities. This study offers a systematic bibliometric analysis to map the structure, trends, and thematic focus of scholarly output on AI ethics in journalism. Based on 71 publications indexed in SSCI, AHCI, and ESCI and selected through PRISMA-guided criteria from the Web of Science, the study reveals a significant rise in ethical debates over the past five years. Citation analyses highlight key themes such as ethical norms, algorithmic journalism, and AI-assisted content creation, while emerging trends include transparency, accountability, and the role of social media. The findings indicate the formation of an interdisciplinary and evolving research field that addresses the ethical, professional, and societal implications of AI in journalism. As academic interest grows, the literature is expected to expand further, contributing to a more comprehensive understanding of AI's impact on journalistic practices.eninfo:eu-repo/semantics/closedAccessArtificial Intelligence Ethics in Journalism: A Bibliometric Analysis and VisualizationArticle10.1080/23736992.2025.25661182-s2.0-105018034130