Aim: This study aims to analyze the YouTube videos of the International Council of Nurses using text mining and Latent Dirichlet Allocation to provide thematic insights that can strengthen the organization's digital communication strategies and support its institutional objectives. Background: Since 2015, the International Council of Nurses has used its YouTube channel to create global awareness about the nursing profession and to strengthen nurses’ influence on health policies. Methods: A total of 193 videos with English subtitles, published on the International Council of Nurses YouTube channel between June 2015 and September 2024, were analyzed. Texts were pre‐processed through normalization, lemmatization, and stopword removal. Latent Dirichlet Allocation was used for topic modeling, and Python‐based natural language processing tools were applied for analysis and visualization. Results: The channel has more than 6000 subscribers. The highest number of videos was published in 2020, while the lowest number was published in 2017. The most frequently used words were “nurse,” “health,” and “care.” As a result of the analysis, ten main themes were identified, encompassing topics such as leadership, international organizations, crisis management, resource management, professional solidarity, and education. Conclusion: Audience engagement appears to be shaped not only by the format of the content but also by temporal and global circumstances.The digital communication of the International Council of Nurses is thematically strong; however, its visibility should be enhanced through more effective presentation and engagement‐focused content. Implications for Nursing and Health Policy: The International Council of Nurses should continue its digital presence on YouTube to enhance nursing's visibility and impact on policy. The strategic use of digital communication tools can increase the profession's societal impact.

Vaccination stands as a preeminent public health measure in the fight against infectious diseases, with a proven track record of significantly reducing morbidity and mortality rates. However, the presence of vaccine hesitancy and misinformation, particularly evident during the course of the pandemic, has emerged as a significant challenge. The present study analyzes public perceptions of vaccination by examining YouTube comments on 215 vaccine-related videos, which total over 94,000 comments. Employing advanced topic modeling techniques, such as Hierarchical Dirichlet Process (hLDA), Latent Semantic Analysis (LSA), and Non-Negative Matrix Factorization (NMF), the study identifies key themes, including vaccine safety, side effects, pharmaceutical ethics, and public trust in healthcare authorities. The findings indicate that debates frequently center on political, social, and scientific concepts. Vaccine hesitancy has emerged as a pervasive global phenomenon that transcends cultural boundaries. The dissemination of misinformation regarding the efficacy of vaccines and the safety of treatments, such as ivermectin, is a prevalent phenomenon on social media platforms. This poses significant challenges to public health efforts. The subjects of child vaccination and parental standpoints are also recurring topics of concern. This study underscores the pivotal function of digital platforms such as YouTube in influencing public attitudes regarding vaccination. This underscores the necessity for targeted communication strategies, advanced digital literacy, and proactive policies by social media platforms to address misinformation and promote evidence-based information. Such precautions are imperative to sustaining elevated vaccination rates and safeguarding public health in the digital age.