Artificial Intelligence (AI) fundamentally changes journalism, yet a comprehensive understanding of its impact is limited. This study presents the first systematic review to thoroughly analyze the influence of AI on journalistic practices, news narratives, and emerging ethical challenges. A rigorous analysis of 127 studies selected from 2478 original articles reveals trends in AI adoption in newsrooms, changes in journalists’ roles, innovations in news presentation, and emerging ethical implications. The key findings show a significant increase in the use of AI for news writing automation (73% of news organizations), data analysis (68%), and content personalization (62%). While AI improves efficiency and accuracy, 42% of studies reported concerns about reduced levels of nuance and context in AI-generated news. We also identified the emergence of hybrid “journalist–programmer” roles (52% of studies) and the need for “AI literacy” among journalists (38% of studies). The most prominent ethical challenges include algorithm transparency (82% of studies), data privacy (76%), and accountability relative to AI content (71%). Regional analysis reveals significant gaps in AI adoption, with important implications for global information equity. This review highlights the ongoing transformation in journalism, identifies critical gaps in current research, and offers an agenda for future investigation. Our findings provide valuable insights for media practitioners, policymakers, and researchers seeking to understand and shape the future of journalism in the age of AI.

This research examines the spread of disinformation on social media platforms and its impact on state resilience through a systematic literature review of 150 peer-reviewed studies published between 2014 and 2024. The analysis revealed that disinformation spreads six times faster than accurate information, with emotions and platform algorithms playing a significant role in its spread. Factors such as low digital literacy, political polarization, and declining trust in institutions increase people’s vulnerability to disinformation. Impacts on national security include threats to the integrity of democratic processes, the erosion of social cohesion, and decreased public trust. The most effective coping strategies include improving digital literacy (78 percent effective), fact-checking (65 percent), and content regulation (59 percent). However, these efforts face ethical and legal challenges, especially regarding freedom of expression. This research highlights the need for a multidimensional approach in addressing the “information pandemic”, integrating technological, educational, and policy strategies while considering ethical implications. The findings provide a foundation for further policy development and research to protect the integrity of public information spaces and state resilience in the digital age.

This mini-review examines the digital transformation in journalism over the past decade (2014–2024), focusing on adopting AI technologies, changing business models, and evolving professional practices. Through an analysis of recent literature, we identify three main streams of research: technology integration in newsrooms, shifting content consumption patterns, and business model innovation. Findings show that AI has changed how news is produced and distributed but poses significant ethical and professional challenges. Current research gaps include a limited understanding of the long-term impact of AI on journalistic practice, insufficient cross-cultural studies of digital adoption patterns, and early explorations of the effectiveness of immersive journalism. This review suggests future research directions in the ethics of automated journalism, sustainable digital business models, and cross-platform content optimization strategies.

This paper presents a comprehensive bibliometric review of the development of artificial intelligence (AI) in journalism based on the analysis of 331 articles indexed in the Scopus database between 2019 and 2023. This research combines bibliometric approaches and quantitative content analysis to provide an in-depth conceptual and structural overview of the field. In addition to descriptive measures, co-citation and co-word analyses are also presented to reveal patterns and trends in AI- and journalism-related research. The results show a significant increase in the number of articles published each year, with the largest contributions coming from the United States, Spain, and the United Kingdom, serving as the most productive countries. Terms such as “fake news”, “algorithms”, and “automated journalism” frequently appear in the reviewed articles, reflecting the main topics of concern in this field. Furthermore, ethical aspects of journalism were highlighted in every discussion, indicating a new paradigm that needs to be considered for the future development of journalism studies and professionalism.

This study examines the relationship between artificial intelligence (AI) media narratives and digital literacy levels in Indonesia, focusing on their combined impact on information resilience and misinformation vulnerability. Through a mixed-methods approach involving content analysis of five major Indonesian media outlets (2022–2024), a survey of 384 respondents across South Sulawesi, and in-depth interviews with 15 media professionals, this research reveals significant gaps between AI media coverage and public understanding. The findings indicate that while 76% of Indonesian media coverage presents AI as a technological solution to misinformation, only 32% of the surveyed population demonstrates adequate digital literacy skills to evaluate AI-generated content critically. The study identifies three distinct patterns of AI media framing: technological optimism (47%), cautionary realism (33%), and dystopian skepticism (20%). These findings contribute to understanding how media narratives about emerging technologies influence public digital literacy and information resilience, particularly in developing digital economies where technological adoption often outpaces digital education initiatives.

This study examines the complex dynamics of cultural adaptation in Asian remakes of Hollywood films, focusing on two pairs of films produced between 2015 and 2023. Through systematic intertextual and comparative analysis, the research investigates how Asian film remakes negotiate and transform global narratives within local cultural contexts. The study analyzes “Ghost” (1990) and its Japanese remake “Ghost: In Your Arms Again” (2018), and “Miss Congeniality” (2000) and its Chinese remake “Beauty Queen” (2021). The analysis reveals sophisticated patterns of cultural transformation across multiple dimensions, including narrative structure, character relationships, visual aesthetics, and thematic emphasis. The findings demonstrate that Asian remakes employ complex strategies of cultural recalibration, moving beyond simple translation to create culturally resonant narratives that balance global appeal with local cultural values. The research identifies systematic patterns in negotiating power dynamics, particularly in treating authority, gender relations, and social hierarchies. Technical analysis reveals consistent shifts in cinematographic approaches, with Asian remakes favoring more contemplative visual styles that integrate traditional aesthetic principles. The study contributes to our understanding of contemporary global media flows and cultural power dynamics, suggesting that successful film adaptations engage in sophisticated processes of cultural hybridization that actively reshape rather than merely reproduce global narratives. These findings significantly impact understanding of cultural adaptation in an increasingly interconnected global media landscape.