Social Media Applications in Cancer Communication
Summary
Social media platforms have transformed the way information about cancer is shared, discussed and understood by patients, caregivers, health professionals and the broader public. Through channels such as Twitter, Facebook, YouTube and Weibo, users access educational content on prevention, screening and treatment, join peer support communities, follow advocacy campaigns and contribute personal narratives. Interactive features—hashtags, live chats, comment threads—foster real-time dialogue and rapid dissemination of research updates or public-health alerts. At the same time, social media serves as a vector for misinformation, necessitating systematic analysis of content quality and the development of strategies to promote accurate messaging. Research spans qualitative narrative studies, quantitative content and sentiment analyses, social network modelling and mixed-methods evaluations, highlighting best practices for engagement, the impact on patient knowledge and emotional well-being, and the global reach of digital interventions. Collectively, this body of work underscores the role of social media as both a powerful tool for patient education, community building and health promotion, and a domain requiring vigilant quality assurance and professional collaboration.
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Social Media Applications in Cancer Communication publication trend
The graph below shows the total number of articles in social media applications in cancer communication across all publications each year (not limited to Nature Index journals).
Technical terms
Content analysis: Systematic method for coding and interpreting textual or multimedia material to identify patterns, themes and frequencies of topics.
Social network analysis: Quantitative approach to mapping and measuring relationships and information flows among users or groups in online communities.
Hashtag community: Cohort of social media users who connect around a common subject by using and following a shared hashtag identifier.
Misinformation: False or inaccurate information that is spread, regardless of intent to deceive, often hindering evidence-based decision-making.
Sentiment analysis: Computational technique to assess and quantify the emotional tone or attitude expressed in text data.
References
- Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets. Journal of Medical Internet Research (2018).
- Twitter Social Media is an Effective Tool for Breast Cancer Patient Education and Support: Patient-Reported Outcomes by Survey. Journal of Medical Internet Research (2015).
- Cancer: A model topic for misinformation researchers. Current Opinion in Psychology (2023).
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