Abstract

Purpose: This study investigates how hospice and palliative care (HPC) are semantically and emotionally represented in global public discourse between 2020 and 2024. It aims to identify thematic trends, emotional dynamics, and ethical narratives that influence public understanding of end-of-life care across cultures. Research Data, Design & Methodology: The research is based on a corpus of over 500 multilingual records drawn from academic journals, policy documents, digital media, and online forums. Employing a multi-method big data approach, the study utilizes sentiment analysis tools, emotion classification, topic modeling (LDA), term weighting (TF-IDF), and semantic network analysis (NetworkX) to extract and visualize patterns in language and emotion. Research Results: Results indicate a clear discursive shift from clinical terminology to emotionally resonant language emphasizing “dignified death,” “spiritual care,” and “volunteer support.” Positive sentiment increased from 52% to 67% over the study period, while negative sentiment declined. Semantic path modeling revealed structured narrative flows linking hospice concepts to autonomy and self-determination. Conclusion: The study concludes that HPC discourse is becoming more emotionally expressive, ethically structured, and culturally adaptive. These findings suggest that future policy and care models should integrate emotional intelligence, narrative framing, and public sentiment to build more inclusive and compassionate hospice systems.