Analyzing Themes, Sentiments, and Coping Strategies Regarding Online News Coverage of Depression in Hong Kong: Mixed Methods Study
This pioneering study used a mixed methods approach where NLP was used to investigate latent subthemes and underlying sentiment in online news. Content analysis was also performed to examine available coping strategies. The findings of this research enhance our understanding of how depression is portrayed through online news in Hong Kong and the preferable coping strategies being used to mitigate depression. The potential impact on readers was discussed. Future research is encouraged to address the mentioned implications and limitations, with recommendations to apply advanced NLP techniques to a new mental health issue case or language.
Authors
- Cindy Sing Bik Ngai (ORCID: https://orcid.org/0000-0002-0664-075X)
- Sihui Chen (ORCID: https://orcid.org/0009-0003-7573-6370)
- Cecilia Cheng (ORCID: https://orcid.org/0000-0002-7250-2224)
- Y.M. Hu (ORCID: https://orcid.org/0000-0003-2017-4887)
Institutions
- Hong Kong Polytechnic University (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-02-13
- DOI
- https://doi.org/10.2196/66696
- Citations
- 1
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 2.48