YouTube Communication of the International Council of Nurses: A Topic Modeling Analysis Using Latent Dirichlet...

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.

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.

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.

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.

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.

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.