This systematic review evaluates China’s Rural Revitalization Policy, focusing on sustainable agriculture, food security, and poverty alleviation initiatives from 2010 to 2024. The study addresses critical gaps in understanding how these combined efforts impact long-term food security and ecological sustainability in impoverished areas, moving beyond the short-term outcomes often emphasized in existing literature. Following the PRISMA 2020 guidelines, we reviewed 33 peer-reviewed publications from the Web of Science and Scopus databases, employing bibliometric analyses in RStudio to assess citation patterns, collaboration networks, and thematic evolution. Our analysis reveals significant progress across three interconnected domains. First, poverty alleviation initiatives achieved a 12.3% reduction in rural poverty through integrated agricultural modernization and targeted support programs. Second, agricultural productivity increased by 9.8% through technological integration and sustainable farming practices, strengthening food security outcomes. Third, environmental sustainability improved notably, with a 15.7% increase in clean water access, demonstrating a successful balance between economic growth and ecological protection. China emerged as the largest contributor (15.2%) to research in this field, with substantial international collaboration (42.4% of publications involving cross-border co-authorship). Despite these achievements, significant regional disparities persist, particularly between eastern and western regions, where targeted interventions are needed. The findings highlight the need for regionally tailored approaches: eastern regions require focus on sustainable intensification, western regions need fundamental infrastructure development, and central regions would benefit from strengthened urban–rural linkages. This study provides valuable insights for policymakers and researchers working on rural development initiatives while identifying areas requiring further research, particularly in long-term sustainability assessments and climate resilience strategies.

The bulk of the literature related to digital media and children exposed various psychologically harmful impacts. This bibliometric analysis is a crucial attempt to document and present existing literature, identify gaps, and recommend further exploring social media’s impact on children’s well-being. The method “the preferred reporting items for systematic reviews and meta-analyses” is employed to investigate the publication on the impacts of digital media on children’s well-being. The data is collected from the Web of Science database, which includes publications published between 2000 and 2023. The final sample consists of 1,037 research publications evaluated using Bibliometrix software. The findings provide insights into how media is a challenge or opportunity for children and their well-being in the modern era. The trends and suggestions in the discussion of digital media’s impacts on children’s well-being are presented in this study.

This systematic review investigates the application of artificial intelligence (AI) and machine learning (ML) in journalism and media practice from 2020 to 2026. Following PRISMA guidelines, we analysed 121 peer-reviewed articles from Scopus and Web of Science using a multi-method approach that combined qualitative thematic analysis, structural topic modelling (STM), and bibliometric network analysis. Four primary research domains emerged: news production and automation (38.0%), audience perception and content analysis (24.8%), ethical and legal considerations (19.8%), and meta-research and implementation studies (17.4%). Publication output accelerated sharply from 2023 onward, driven by the emergence of large language models and generative AI. The STM analysis confirmed the four-domain structure and revealed that legal-regulatory vocabulary pervades the literature across all categories, indicating a field-wide preoccupation with the institutional implications of AI. Key findings demonstrate that successful AI adoption depends on workflow redesign and human–machine collaboration rather than full automation; that audience evaluations of AI-generated content vary significantly across cultural contexts, with the machine heuristic—originating from Sundar’s MAIN model—playing a central mediating role; and that copyright frameworks for AI-generated news remain contested across jurisdictions. This study develops an integrated theoretical framework that maps directional relationships among the four research domains, identifies cultural context and disclosure practices as key moderators, and generates testable propositions for future investigation.

The widespread adoption of digital technologies has profoundly influenced the lives of children, youths, and adolescents, raising growing concerns about the psychological and social impacts of online engagement. In response, this study presents a comprehensive bibliometric analysis of the research landscape in this field, highlighting publication trends, key contributors, emerging research themes, and patterns of collaboration. Using data retrieved from the Scopus database, the analysis examined publication growth, identified the most influential authors, journals, and countries, explored co-authorship relationships among authors and nations, and assessed knowledge exchange through bibliographic coupling of countries. The results indicate a steady increase in publication output over the past decade, with a pronounced surge in recent years, reflecting heightened scholarly interest in this area. Several authors, institutions, and countries emerged as major contributors to the literature. Keyword co-occurrence analysis revealed prominent research themes, including cyberbullying, internet addiction, social media use, and their implications for mental health. In addition, the study examined collaboration patterns among researchers and journals and identified clusters of countries with strong collaborative ties. Overall, these findings provide valuable insights into the current state of research on the psychological and social effects of digital technology use on children’s and adolescents’ well-being in online environments, highlighting research gaps, collaboration opportunities, and future research directions. The bibliometric approach employed offers a distinctive perspective on the evolving knowledge landscape and supports efforts to strengthen collaboration and enhance research impact in this critical field.