Systematic Review and Presentation of a Management Model for the Application of Artificial Intelligence in Online News Platforms of Khuzestan Province
Keywords:
Artificial Intelligence, Media Management, Online Media, Meta-synthesis, Digital TransformationAbstract
The rapid advancement of artificial intelligence has confronted media organizations with numerous managerial, ethical, and technological opportunities and challenges. While the applications of artificial intelligence in the production, processing, and distribution of media content are rapidly expanding, the absence of a comprehensive managerial framework may lead to a decline in audience trust, erosion of media legitimacy, and organizational inefficiency. The present study aims to develop a management model for the application of artificial intelligence in media, with a focus on online news platforms in Khuzestan Province. In terms of purpose, this research is applied, and in nature, it is qualitative–developmental, conducted using a meta-synthesis approach. To this end, relevant domestic and international studies in the field of artificial intelligence and media were systematically reviewed, and after screening, key components and dimensions were extracted. The data were coded using a qualitative content analysis approach and organized into a conceptual and flowchart-based model. The findings indicate that managing the application of artificial intelligence in media is a multidimensional phenomenon influenced by components such as artificial intelligence governance and policymaking, ethics and media legitimacy, strategic management and leadership, technological infrastructure and resources, human resource management, intelligent content production and processing, editorial control, decision-making and media performance, audience engagement and interaction, and digital innovation and transformation. The results suggest that success in implementing artificial intelligence depends less on technological factors and more on the integrated management and alignment of these dimensions. The proposed model can serve as a guiding framework for media managers, policymakers, and researchers in designing, implementing, and evaluating the application of artificial intelligence in online news media.
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Copyright (c) 2025 Seyed Fakhreddin Taherzadeh Mousavian (Author); Naser Khani (Corresponding author); Mojgan Bahrami (Author)

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