ArticleJMIR cancer2019
Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach.
Article in JMIR cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- How Cancer Online Support Groups Work, for Whom, and in What Circumstances: Realist Review.Journal of medical Internet research · 2026Review
- Pathways and Roadblocks in Navigating Online Cancer Communities: Qualitative Study Among Young Adult Cancer Survivors.JMIR cancer · 2026Article
- Patient Voice and Treatment Nonadherence in Cancer Care: A Scoping Review of Sentiment Analysis.Nursing reports (Pavia, Italy) · 2026Review
- Mapping Characteristics, Applications, and Implementation Challenges of Virtual Communities in Cancer Care: NASSS Framework-Informed Scoping Review.Journal of medical Internet research · 2025Article
- How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of #BipolarClub.Journal of medical Internet research · 2024Article
- Talking Cancer-Cancer Talking: A Linguistic and Thematic Analysis of Patient Narratives.Journal of patient experience · 2024Article
- Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study.Frontiers in public health · 2024Article
- Article
- Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis.Journal of medical Internet research · 2023Article
- "Frontiers in psychology · 2023Article
- Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study.JMIR research protocols · 2022Article
- Need differences by treatment phases between patients with colorectal cancer and their caregivers: A text mining analysis.Asia-Pacific journal of oncology nursing · 2022Article
- Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study.JMIR cancer · 2022Article
- Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study.Journal of medical Internet research · 2021Article
- Patients' Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis.Journal of medical Internet research · 2020Article
- Patients' Willingness to Share Information in Online Patient Communities: Questionnaire Study.Journal of medical Internet research · 2020Article
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6 authors.
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Abstract
backgroundPeer-to-peer online support groups and the discussion forums in these groups can help patients by providing opportunities for increasing their empowerment. Most previous research on online empowerment and online social support uses qualitative methods or questionnaires to gain insight into the dynamics of online empowerment processes.
objectiveThe overall goal of this study was to analyze the presence of the empowerment processes in the online peer-to-peer communication of people affected by cancer, using text mining techniques. Use of these relatively new methods enables us to study social processes such as empowerment on a large scale and with unsolicited data.
methodsThe sample consisted of 5534 messages in 1708 threads, written by 2071 users of a forum for cancer patients and their relatives. We labeled the posts in our sample with 2 types of labels: labels referring to empowerment processes and labels denoting psychological processes. The latter were identified using the Linguistic Inquiry and Word Count (LIWC) method. Both groups of labels were automatically assigned to posts. Automatic labeling of the empowerment processes was done by text classifiers trained on a manually labeled subsample. For the automatic labeling of the LIWC categories, we used the Dutch version of the LIWC consisting of a total of 66 word categories that are assigned to text based on occurrences of words in the text. After the automatic labeling with both types of labels, we investigated (1) the relationship between empowerment processes and the intensity of online participation, (2) the relationship between empowerment processes and the LIWC categories, and (3) the differences between patients with different types of cancer.
resultsThe precision of the automatic labeling was 85.6%, which we considered to be sufficient for automatically labeling the complete corpus and doing further analyses on the labeled data. Overall, 62.94% (3482/5532) of the messages contained a narrative, 23.83% (1318/5532) a question, and 27.49% (1521/5532) informational support. Emotional support and references to external sources were less frequent. Users with more posts more often referred to an external source and more often provided informational support and emotional support (Kendall τ>0.2; P<.001) and less often shared narratives (Kendall τ=-0.297; P<.001). A number of LIWC categories are significant predictors for the empowerment processes: words expressing assent (ok and yes) and emotional processes (expressions of feelings) are significant positive predictors for emotional support (P=.002). The differences between patients with different types of cancer are small.
conclusionsEmpowerment processes are associated with the intensity of online use. The relationship between linguistic analyses and empowerment processes indicates that empowerment processes can be identified from the occurrences of specific linguistic cues denoting psychological processes.
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