Meta-analysis of the Role of Artificial Intelligence in Journalism Transformations: A Systematic Literature Review
Keywords:
artificial intelligence, journalism, systematic review, content production, media ethicsAbstract
This study employed the Systematic Literature Review (SLR) method to conduct an analytical examination of the role of artificial intelligence (AI) in the transformation of journalism. The primary objective was to collect, evaluate, and synthesize scientific evidence in an integrated manner to provide a comprehensive picture of the current state of research in this field. The resource collection process involved a systematic search of reputable international and national databases from 2015 to 2023, using targeted keywords and a rigorous screening of sources. Ultimately, 87 peer-reviewed scientific articles and 13 specialized books were selected for analysis. The study was based on a qualitative content analysis using a deductive–inductive approach, extracting and categorizing the main themes of the texts and examining similarities, differences, gaps, and trends within the literature. Furthermore, to enhance the validity of the analysis, the coding process of themes was carried out by two independent coders, and inter-coder reliability was assessed. The results of the meta-analysis indicate that artificial intelligence has brought about profound changes in content production processes, the role of journalists, business models, and audience engagement, while simultaneously introducing ethical, professional, and economic challenges. This study highlights the importance of integrating human and machine intelligence, developing ethical frameworks, and providing specialized training in the field of intelligent journalism, while also proposing directions for future research.
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Copyright (c) 2024 Mohammad Mehdi Kheirjo, Mohammad Reza Rasouli, Akbar Nasrollahi (Author)
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