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](https://asset.jmir.pub/assets/22a52a85f5bdb2555be5448a8f2fc9f0.png 480w,https://asset.jmir.pub/assets/22a52a85f5bdb2555be5448a8f2fc9f0.png 960w,https://asset.jmir.pub/assets/22a52a85f5bdb2555be5448a8f2fc9f0.png 1920w,https://asset.jmir.pub/assets/22a52a85f5bdb2555be5448a8f2fc9f0.png 2500w)
Journals
- 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
- 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
- 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