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This paper is in the following e-collection/theme issue:

Emotional, Social, Psychological Support for Cancer (322) Peer-to-Peer Support and Online Communities (984) Machine Learning (3036)

Published on in Vol 5, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9887, first published .
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Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

Authors of this article:

Suzan Verberne1 Author Orcid Image ;   Anika Batenburg2 Author Orcid Image ;   Remco Sanders3 Author Orcid Image ;   Mies van Eenbergen4 Author Orcid Image ;   Enny Das2 Author Orcid Image ;   Mattijs S Lambooij5 Author Orcid Image
Article Authors Cited by (24) Tweetations (7) Metrics

Journals

  1. Zhu P, Shen J, Xu M. Patients’ Willingness to Share Information in Online Patient Communities: Questionnaire Study. Journal of Medical Internet Research 2020;22(4):e16546 View
  2. Sanders R, Araujo T, Vliegenthart R, van Eenbergen M, van Weert J, Linn A. Patients’ Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis. Journal of Medical Internet Research 2020;22(10):e18303 View
  3. Allison K, Patterson P, Guilbert D, Noke M, Husson O. Logging On, Reaching Out, and Getting By. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  4. Kalf R, Delnoij D, Ryll B, Bouvy M, Goettsch W. Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study. Journal of Medical Internet Research 2021;23(12):e27497 View
  5. Kah-Pei Liaw M, Ting S, Chuah K, Jerome C. Affective and Cognitive Processes in Cancer Narratives. MANUSYA: Journal of Humanities 2022;25(1):1 View
  6. van Eenbergen M, Vromans R, Tick L, Vreugdenhil G, Krahmer E, Mols F, van de Poll-Franse L. Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study. JMIR Cancer 2022;8(1):e19379 View
  7. Bizzotto N, Morlino S, Schulz P. Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study. JMIR Research Protocols 2022;11(5):e35347 View
  8. Yoon J, Son H. Need differences by treatment phases between patients with colorectal cancer and their caregivers: A text mining analysis. Asia-Pacific Journal of Oncology Nursing 2022;9(5):100061 View
  9. Decroisette C, Corre R, Greenwood W, Chartier D, Amsellem N, Lefebvre-Nare F, Guéroult-Accolas L, Schott R. Analyse sémantique de conversations sur le web portant sur le cancer du poumon : étude Web Ethnography-Lung. Bulletin du Cancer 2022;109(7-8):805 View
  10. Zhu J, Li Z, Zhang X, Zhang Z, Hu B. Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis. Journal of Medical Internet Research 2023;25:e45777 View
  11. Pereira L, Mallela J, Valle C, Salsman J, Quinn G. Influence of making a video cancer narrative in adolescents and young adults on factors impacting self-efficacy. Health & New Media Research 2023;7(1):37 View
  12. Kordoni A, Gavidia-Calderon C, Levine M, Bennaceur A, Nuseibeh B. “Are we in this together?”: embedding social identity detection in drones improves emergency coordination. Frontiers in Psychology 2023;14 View
  13. Franzoi M, Bayle A, Vaz-Luis I. Changing cancer representations toward comprehensive portraits to empower patients in their care journey. Annals of Oncology 2023;34(12):1082 View
  14. Shah A, Lee K, Hidayat A, Falchook A, Muhammad W. A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. International Journal of Medical Informatics 2024;184:105375 View
  15. Yin Q, Sadowski S. A tale of two platforms: A comparative analysis of language use in consumer complaints on Reddit and Spotify Community. Journal of Consumer Behaviour 2024;23(4):2071 View
  16. Li A. Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study. Frontiers in Public Health 2024;12 View
  17. AbouWarda H, Dolata M, Schwabe G. 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 2024;26:e55965 View
  18. García-García F, López-Francés I, Molla-Esparza C, Moctezuma-Ramírez E, Gargallo-López B. How University Teachers and Students Understand the «Learning to Learn» Competence: An Exploratory Study Through Text Mining Techniques. Estudios sobre Educación 2024;48:73 View
  19. Dong J, He Y, Tang L. Mapping Characteristics, Applications, and Implementation Challenges of Virtual Communities in Cancer Care: NASSS Framework-Informed Scoping Review. Journal of Medical Internet Research 2025;27:e73093 View
  20. Wreyford L, Gururajan R, Zhou X, Higgins N. Patient Voice and Treatment Nonadherence in Cancer Care: A Scoping Review of Sentiment Analysis. Nursing Reports 2026;16(1):18 View
  21. Chen Q, Donovan E, Zhou L, Noel L, Jones B. Pathways and Roadblocks in Navigating Online Cancer Communities: Qualitative Study Among Young Adult Cancer Survivors. JMIR Cancer 2026;12:e79893 View
  22. Bender J, Scruton S, Wong G, Squires L, Babinski S, Englesakis M, Cyr A, Potts H, Tricco A, Wassersug R, Esplen M, Forster V, Perski O, Witteman H, Soobiah C, Papadakos J, Young C, Fox C. How Cancer Online Support Groups Work, for Whom, and in What Circumstances: Realist Review. Journal of Medical Internet Research 2026;28:e77445 View
  23. Xu L. Psychosocial care interventions in cancer treatment: a review of innovative approaches to patient empowerment. Psycho-Oncologie 2026;20(4) View

Books/Policy Documents

  1. Bagheri A, Giachanou A, Mosteiro P, Verberne S. Clinical Applications of Artificial Intelligence in Real-World Data. View