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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Consumer & Patient Education and Shared-Decision Making (679) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Quality/Credibility of eHealth Information and Trust Issues (531) Information Quality in Digital Media (340) Public (e)Health, Digital Epidemiology and Public Health Informatics (725)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39571, first published .
Understanding the Social Mechanism of Cancer Misinformation Spread on YouTube and Lessons Learned: Infodemiological Study

Understanding the Social Mechanism of Cancer Misinformation Spread on YouTube and Lessons Learned: Infodemiological Study

Understanding the Social Mechanism of Cancer Misinformation Spread on YouTube and Lessons Learned: Infodemiological Study

Authors of this article:

Ho Young Yoon1 Author Orcid Image ;   Kyung Han You2 Author Orcid Image ;   Jung Hye Kwon3, 4, 5 Author Orcid Image ;   Jung Sun Kim3 Author Orcid Image ;   Sun Young Rha6, 7 Author Orcid Image ;   Yoon Jung Chang8 Author Orcid Image ;   Sang-Cheol Lee9 Author Orcid Image
Article Authors Cited by (7) Tweetations (8) Metrics

Journals

  1. Segado-Fernández S, Herrera-Peco I, Jiménez-Gómez B, Ruiz Núñez C, Jiménez-Hidalgo P, Benítez de Gracia E, González-Rodríguez L, Torres-Ramírez C, Lozano-Estevan M. Realfood and Cancer: Analysis of the Reliability and Quality of YouTube Content. International Journal of Environmental Research and Public Health 2023;20(6):5046 View
  2. Thakur N, Cui S, Knieling V, Khanna K, Shao M. Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis. Computation 2024;12(2):28 View
  3. Zhao K, Li X, Li J. Cancer Prevention and Treatment on Chinese Social Media: Machine Learning-Based Content Analysis Study (Preprint). Journal of Medical Internet Research 2024 View
  4. Gwon N, Jeong W, Kim J, Oh K, Jun J. Effects of Intervention Timing on Health-Related Fake News: Simulation Study. JMIR Formative Research 2024;8:e48284 View
  5. Yeung A, Matin M, Mickael M, Behrens S, Hrg D, Ławiński M, Hammerle F, Atanasov A. Bibliometric Analysis of Papers Dealing with Dental Videos on YouTube. Publications 2024;12(3):22 View
  6. Zenone M, van Schalkwyk M, Hartwell G, Caulfield T, Maani N. Selling Misleading “Cancer Cure” Books on Amazon: Systematic Search on Amazon.com and Thematic Analysis. Journal of Medical Internet Research 2024;26:e56354 View
  7. Jeong W, Song E, Jeong E, Oh K, Lee H, Jun J. Cancer-related Keywords in 2023: Insights from Text Mining of a Major Consumer Portal. Healthcare Informatics Research 2024;30(4):398 View