Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic
This study provides an overview of the multifaceted considerations essential for the application of immunotherapy as a therapeutic intervention. The topics and themes identified can serve as supporting information to facilitate physician-patient communication and the decision-making process. Furthermore, this study also demonstrates the effectiveness of BERTopic in analyzing large amounts of data to identify perceptions underlying social media and online communities.
Authors
- Herbert H. Loong (ORCID: https://orcid.org/0000-0002-6607-1106)
- Chun-Kit Ngan (ORCID: https://orcid.org/0000-0003-2151-0459)
- Keary Rui Zhou (ORCID: https://orcid.org/0000-0001-5054-4290)
- Chun Sing Lam (ORCID: https://orcid.org/0000-0002-6478-6706)
- Yin Ting Cheung (ORCID: https://orcid.org/0000-0001-9874-8938)
- Ka Ho Hui
- Xingyue Wu (ORCID: https://orcid.org/0009-0005-8294-3559)
Institutions
- Worcester Polytechnic Institute (US)
- Chinese University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-12-30
- DOI
- https://doi.org/10.2196/60948
- Citations
- 7
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 3.70