ArticleJournal of medical Internet research2020
Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Mapping Characteristics, Applications, and Implementation Challenges of Virtual Communities in Cancer Care: NASSS Framework-Informed Scoping Review.Journal of medical Internet research · 2025Article
- Toward clearer recognition and easier usefulness: development of a cross-lingual atherosclerotic cerebrovascular disease ontology.Database : the journal of biological databases and curation · 2024Article
- [Structural Topic Modeling Analysis of Patient Safety Interest among Health Consumers in Social Media].Journal of Korean Academy of Nursing · 2024Article
- Identification of Emotional Spectrums of Patients Taking an Erectile Dysfunction Medication: Ontology-Based Emotion Analysis of Patient Medication Reviews on Social Media.Journal of medical Internet research · 2023Article
- Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.JMIR cancer · 2023Article
- Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data.JMIR cancer · 2023Article
- Listening to voices from multiple sources: A qualitative text analysis of the emotional experiences of women living with breast cancer in China.Frontiers in public health · 2023Article
- What topics are women interested in during pregnancy: exploring the role of social media as informational and emotional support.BMC pregnancy and childbirth · 2022Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- Understanding the Public's Emotions about Cancer: Analysis of Social Media Data.International journal of environmental research and public health · 2020Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundAnalysis of posts on social media is effective in investigating health information needs for disease management and identifying people's emotional status related to disease. An ontology is needed for semantic analysis of social media data.
objectiveThis study was performed to develop a cancer ontology with terminology containing consumer terms and to analyze social media data to identify health information needs and emotions related to cancer.
methodsA cancer ontology was developed using social media data, collected with a crawler, from online communities and blogs between January 1, 2014 and June 30, 2017 in South Korea. The relative frequencies of posts containing ontology concepts were counted and compared by cancer type.
resultsThe ontology had 9 superclasses, 213 class concepts, and 4061 synonyms. Ontology-driven natural language processing was performed on the text from 754,744 cancer-related posts. Colon, breast, stomach, cervical, lung, liver, pancreatic, and prostate cancer; brain tumors; and leukemia appeared most in these posts. At the superclass level, risk factor was the most frequent, followed by emotions, symptoms, treatments, and dealing with cancer.
conclusionsInformation needs and emotions differed according to cancer type. The observations of this study could be used to provide tailored information to consumers according to cancer type and care process. Attention should be paid to provision of cancer-related information to not only patients but also their families and the general public seeking information on cancer.
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