ArticleJournal of medical Internet research2021
Cancer Communication and User Engagement on Chinese Social Media: Content Analysis and Topic Modeling Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Characterizing authoritative oncology-related key opinion leaders on Weibo: A social media profiling study.Asia-Pacific journal of oncology nursing · 2025Article
- Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis.JMIR infodemiology · 2025Article
- Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis.Journal of medical Internet research · 2025Article
- Improving topic modeling performance on social media through semantic relationships within biomedical terminology.PloS one · 2025Article
- Topic modeling and content analysis of people's anxiety-related concerns raised on a computer-mediated health platform.Scientific reports · 2024Article
- Cancer-related Keywords in 2023: Insights from Text Mining of a Major Consumer Portal.Healthcare informatics research · 2024Article
- Assessing the needs of patients with breast cancer and their families across various treatment phases using a Latent Dirichlet Allocation model: a text-mining approach to online health communities.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Empowerment-Led Guided Self-Help Intervention for Symptom Burden in Breast Cancer Women Treated With Ovarian Function Suppression: A Randomized Trial Protocol.World journal of oncology · 2024Article
- Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis.JMIR infodemiology · 2023Article
- COVID-19 Vaccine-Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis.Journal of medical Internet research · 2023Article
- Green-Labelled Rice versus Conventional Rice: Perception and Emotion of Chinese Consumers Based on Review Mining.Foods (Basel, Switzerland) · 2022Article
- Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis.JMIR human factors · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer ranks among the most serious public health challenges worldwide. In China-the world's most populous country-about one-quarter of the population consists of people with cancer. Social media has become an important platform that the Chinese public uses to express opinions.
objectiveWe investigated cancer-related discussions on the Chinese social media platform Weibo (Sina Corporation) to identify cancer topics that generate the highest levels of user engagement.
methodsWe conducted topic modeling and regression analyses to analyze and visualize cancer-related messages on Weibo and to examine the relationships between different cancer topics and user engagement (ie, the number of retweets, comments, and likes).
resultsOur results revealed that cancer communication on Weibo has generally focused on the following six topics: social support, cancer treatment, cancer prevention, women's cancers, smoking and skin cancer, and other topics. Discussions about social support and cancer treatment attracted the highest number of users and received the greatest numbers of retweets, comments, and likes.
conclusionsOur investigation of cancer-related communication on Weibo provides valuable insights into public concerns about cancer and can help guide the development of health campaigns in social media.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.