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 transformation of masculine representation across television and digital platforms in Indonesian reality shows. We identified distinct patterns of masculine representation emerging across platforms through a mixed-method analysis of 240 h of television programming, 1100 digital media items, and survey data from 1000 respondents. Our study reveals a significant decline in traditional masculine representations from 85% to 30% between 2019 and 2024, accompanied by the rise of “platform-specific masculinities”. The research identifies three primary categories: traditional (dominated by competitive achievement), emotional (characterized by interpersonal connection), and creativity (marked by innovative self-expression). Digital platforms demonstrate higher engagement rates for emotional (380 k interactions) and creative content (320 k interactions) compared to traditional representations (180 k interactions), particularly among younger audiences (18–24). While television maintains predominantly traditional representations (65%), digital platforms, especially TikTok, show higher proportions of emotional (42%) and creative (45%) expressions. These findings contribute to understanding how platform characteristics influence gender representation and suggest implications for media production in Southeast Asia.

This study examines the intersection of artificial intelligence-driven personal branding strategies and female entrepreneurship within Indonesia’s unique hijabi startup ecosystem. Through a mixed-methods approach combining sentiment analysis of 2847 social media posts, in-depth interviews with 35 hijabi entrepreneurs, and machine learning analysis of branding patterns, this research reveals how AI technologies can be leveraged to create culturally sensitive personal branding frameworks for Muslim female entrepreneurs. The findings demonstrate that successful hijabi entrepreneurs employ distinct AI-enhanced communication strategies that balance religious identity, professional credibility, and market positioning. The study introduces the “Halal Personal Branding Framework,” a novel theoretical model that integrates Islamic values with contemporary digital marketing practices. Results indicate that AI-driven personal branding increases startup funding success rates by 34% and market reach by 58% among hijabi entrepreneurs when culturally appropriate algorithms are employed. This research contributes to entrepreneurship communication theory while providing practical guidelines for developing inclusive AI systems that respect religious and cultural diversity in the digital economy.

This research aims to explore the watching patterns of the people of Indonesia with a specific focus on how they consume news programs on television. Indonesian democracy condition is draining much information energy every year. The war for information among broadcasting institutions has stirred worry among the general public regarding the quality of the content broadcast by national television stations. Virtually no medium is safe from the touch of politics, and news programs, in particular, are often highly political. Due to the urgency of this research to measure the quality of programs, not the number of viewers, the informants of this study are industry experts and academics. Their knowledge, experience, and insight into the television industry make them exceptionally qualified to assess television programs' quality critically. The results of the evaluation and deepening of the experts can be concluded by several aspects of the quality of news programs: The intervention of media owners is still evident and even conspicuous in the balance of news in an industry where broadcasting institutions are explicitly manipulating news content, especially when it concerns political issues. Concerning critical power, several news programs fail to arouse a critical rationale. News is delivered from one perspective only. The supervision aspect is still deficient because the shocking and horrible are intrinsically appealing. Subjectiveness in the news is widespread, especially in the selection of titles and narratives that simply justify the reporters' words.

The proliferation of artificial intelligence (AI) technologies has fundamentally transformed the landscape of visual disinformation, creating novel challenges for digital equity and social justice. This mini review examines how AI-generated and AI-amplified visual content disproportionately impacts marginalised communities through intersecting vulnerabilities related to race, ethnicity, socioeconomic status, geographic location, and digital literacy. Drawing on intersectional theory and social identity frameworks, we synthesise recent empirical evidence demonstrating that algorithmic systems systematically disadvantage specific demographic groups through biased content generation, inequitable distribution mechanisms, and differential access to verification tools. Our analysis reveals that communities of colour, low-income populations, and individuals in the Global South face compounded risks from AI-driven disinformation ecosystems. We identify critical gaps in current interventions and propose equity-centred approaches to address these disparities, including algorithmic accountability frameworks, culturally responsive media literacy programs, and inclusive platform design. This review contributes to emerging scholarship at the intersection of AI ethics, communication studies, and social equity by highlighting how technological systems reproduce and amplify existing societal inequalities.