Leveraging natural language processing (NLP) to understand media framing of Lyme disease.

Research demonstrates that media frame our understanding of health-related issues. This study leverages Natural Language Processing (NLP) to explore how media in five nations (Canada, Australia, New Zealand, England, and the United States) frame Lyme disease. The results showed that the Canadian Bro...

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Detalles Bibliográficos
Publicado en:Atlantic Journal of Communication Vol. 34; no. 1; pp. 79 - 94
Autores principales: Jia, Lili, Croucher, Stephen M., Gilbert, Leona
Formato: Artículo
Publicado: Taylor & Francis Ltd Jan-Mar2026
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Research demonstrates that media frame our understanding of health-related issues. This study leverages Natural Language Processing (NLP) to explore how media in five nations (Canada, Australia, New Zealand, England, and the United States) frame Lyme disease. The results showed that the Canadian Broadcasting Corporation had the most media coverage of Lyme disease. Second, sentiment analysis demonstrated differences in overall sentiment among the outlets. VADER identified a balance between neutral sentiment in article titles and positivity in article content, while BERT revealed high negativity in titles and content. Third, key frames varied across the media, demonstrating the differing focus of each outlet.