Systematic review uncovers the impact of AI on journalism literacy and competencies, suggesting essential skills for engagement.
Artificial Intelligence (AI) is redefining journalism, transforming news production, distribution, and consumption. Despite the growing adoption of AI in newsrooms, academic research remains fragmented and lacks a comprehensive overview of global trends, particularly regarding its implications for media literacy and disinformation. This article addresses this gap through a systematic literature review of publications on AI in journalism between 2020 and 2024, based on Scopus and Web of Science. The analysis shows a significant increase in research output since 2023, alongside a strong geographical concentration in Europe and North America, with limited representation from the Global South. The results identify six key thematic areas: automation of news production, algorithmic personalization, newsroom integration, ethical and regulatory challenges, disinformation, and journalism education. Across these themes, the findings reveal a shift from a predominantly technocentric perspective toward a competency-based approach, with increasing attention to media literacy. While AI is associated with efficiency and innovation, the literature consistently highlights concerns related to transparency, bias, editorial accountability, and the transformation of professional roles, as well as risks linked to misinformation and declining public trust. Importantly, the review shows that media literacy—particularly AI literacy—emerges as a transversal dimension, emphasizing the need for competencies that enable journalists and audiences to critically understand, evaluate, and engage with algorithmic systems. The study also identifies key gaps, including limited longitudinal research, scarce audience-centered approaches, insufficient interdisciplinary collaboration, and persistent deficiencies in AI-related training. By foregrounding literacy as a central analytical dimension, this article advances a more holistic understanding of AI in journalism and contributes to the development of a globally inclusive and competency-oriented research agenda.
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Tejedor et al. (2026) studied this question.
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