Next Article in Journal
Validity and Reliability of International Physical Activity Questionnaires for Adults across EU Countries: Systematic Review and Meta Analysis
Previous Article in Journal
Knowledge on Pre-Hospital Emergency Management of Tooth Avulsion among Croatian Students of the Faculty of Education
Open AccessArticle

Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data

1
College of Nursing and Research Institute of Nursing Science, Seoul National University, Seoul 03080, Korea
2
College of Nursing, Gachon University, Incheon 21936, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(19), 7160; https://doi.org/10.3390/ijerph17197160
Received: 15 September 2020 / Revised: 27 September 2020 / Accepted: 29 September 2020 / Published: 30 September 2020
Cancer survivors suffer from emotional distress, which varies depending on several factors. However, existing emotion management programs are insufficient and do not take into consideration all of the factors. Social media provides a platform for understanding the emotions of the public. The aim of this study was to explore the relationship between the public’s emotions about cancer and factors affecting emotions using social media data. We used 321,339 posts on cancer and emotions relating to cancer extracted from 22 social media channels between 1 January 2014, and 30 June 2017. The factors affecting emotions were analyzed using association rule mining and social network analysis. Hope/gratitude was the most frequently mentioned emotion group on social media followed by fear/anxiety/overwhelmed, sadness/depression/loneliness/guilt, and anger/denial. Acute survival stage, treatment method, and breast cancer were associated with hope/gratitude. Early stage, gastrointestinal problems, fatigue/pain/fever, and pancreatic cancer were associated with fear/anxiety/overwhelmed. Surgery, hair loss/skin problems, and fatigue/pain/fever were associated with sadness/depression/loneliness/guilt. Acute survival stage and hair loss/skin problems were associated with anger/denial. We found that emotions concerning cancer differed depending on the cancer type, cancer stage, survival stage, treatment, and symptoms. These findings could guide the development of tailored emotional management programs for cancer survivors that meet the public’s needs more effectively. View Full-Text
Keywords: social media; emotional analysis; cancer; association rule mining; social network analysis social media; emotional analysis; cancer; association rule mining; social network analysis
Show Figures

Figure 1

MDPI and ACS Style

Park, S.K.; Park, H.-A.; Lee, J. Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data. Int. J. Environ. Res. Public Health 2020, 17, 7160. https://doi.org/10.3390/ijerph17197160

AMA Style

Park SK, Park H-A, Lee J. Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data. International Journal of Environmental Research and Public Health. 2020; 17(19):7160. https://doi.org/10.3390/ijerph17197160

Chicago/Turabian Style

Park, Seul K.; Park, Hyeoun-Ae; Lee, Jooyun. 2020. "Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data" Int. J. Environ. Res. Public Health 17, no. 19: 7160. https://doi.org/10.3390/ijerph17197160

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop