Introduction: People with health conditions obtain information about the health condition and its management through various sources (e.g., news media, social media, health professionals, friends and family) and that can influence their attitudes towards managing the condition. The current study was aimed at understanding how “hearing loss”, hearing aid(s)” and “tinnitus” are represented in the United Sates newspaper media using text pattern analysis of big data.
Design: This was a cross-sectional study based upon secondary analyses of publicly available data. The data sets were generated from United Sates newspaper media. Text corpuses were analyzed using the Iramuteq software using the divisive hierarchical clustering based on correspondence analysis.
Results: The cluster analysis resulted in seven clusters for hearing loss (i.e., causes and consequences, early identification and diagnosis, health promotion and prevention, recreational noise exposure, prevalence, research and development, cognitive hearing science), eight clusters for hearing aid(s) (i.e., signal processing, insurance, prevalence, research and development, activities and relation, environment, innovation, wireless and connectivity, and five clusters for tinnitus (brain stimulation, symptoms, coping, social support, treatment innovation). The study highlights the specific aspects about hearing loss, hearing aid(s), and tinnitus that the U.S. media focuses on, and also how these aspects change over time (i.e., 1980 to 2007).
Conclusions: These findings can help clinicians to better understand the presupposition that general public and patients may have. This understanding can help clinicians in tailoring specific messages during clinical consultations and rehabilitation. The findings can help public health experts and health communication experts in tailoring health information about tinnitus in order to promote self-management.