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

Early Results in Infodemiology and Infoveillance (90) Quality/Credibility of eHealth Information and Trust Issues (601) Infodemiology and Infoveillance (1459) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1791) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088) Cancer Epidemiology, Cancer Surveillance and Infodemiology (93)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49452, first published .
Fact-Checking Cancer Information on Social Media in Japan: Retrospective Study Using Twitter

Fact-Checking Cancer Information on Social Media in Japan: Retrospective Study Using Twitter

Fact-Checking Cancer Information on Social Media in Japan: Retrospective Study Using Twitter

Authors of this article:

Nari Kureyama1, 2 Author Orcid Image ;   Mitsuo Terada1 Author Orcid Image ;   Maho Kusudo1, 2 Author Orcid Image ;   Kazuki Nozawa2 Author Orcid Image ;   Yumi Wanifuchi-Endo1 Author Orcid Image ;   Takashi Fujita1 Author Orcid Image ;   Tomoko Asano1 Author Orcid Image ;   Akiko Kato1 Author Orcid Image ;   Makiko Mori1 Author Orcid Image ;   Nanae Horisawa1 Author Orcid Image ;   Tatsuya Toyama1 Author Orcid Image
Article Authors Cited by (9) Tweetations (75) Metrics

Journals

  1. Swire-Thompson B, Johnson S. Cancer: A model topic for misinformation researchers. Current Opinion in Psychology 2024;56:101775 View
  2. Kusudo M, Terada M, Kureyama N, Wanifuchi-Endo Y, Fujita T, Asano T, Kato A, Mori M, Horisawa N, Toyama T. Characterizing user demographics in posts related to breast, lung and colon cancer on Japanese twitter (X). Scientific Reports 2024;14(1) View
  3. Loeb S, Langford A, Bragg M, Sherman R, Chan J. Cancer misinformation on social media. CA: A Cancer Journal for Clinicians 2024;74(5):453 View
  4. Vargas Meza X, Oikawa M. Japanese Perception of Brain Death and Implications for New Medical Technologies: Quantitative and Qualitative Social Media Analysis. JMIR Formative Research 2024;8:e54025 View
  5. 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
  6. Ariani R, Raldow A. Impact of Social Media on Oncology Care. Hematology/Oncology Clinics of North America 2025;39(2):413 View
  7. Kusama H, Takahashi Y, Orihara S, Adachi K, Ishizuka Y, Semba R, Shima H, Horimoto Y, Kaise H, Taguri M, Inoue S, Nakayama T, Ishikawa T. Assessing the Reliability and Validity of PRHISM for Evaluating Breast Cancer Treatment Videos on YouTube: an Instrument Validation Study (Preprint). JMIR Infodemiology 2024 View
  8. Higashino M, Nishio N, Fukuda Y, Ueda T, Okano S, Nakamura S, Abe Y, Yoshioka H, Fujiwara K, Nakagawa M, Fujimoto Y, Matsuura K, Nibu K. Head and neck cancer recognition and medical information gathering methods. Toukeibu Gan 2025;51(1):1 View
  9. Fushimi A, Terada M, Tahara R, Nakazawa Y, Iwase M, Shibayama T, Kotti S, Yamashita N, Iesato A. Assessing the quality of Japanese online breast cancer treatment information using large language models: a comparison of ChatGPT, Claude, and expert evaluations. Breast Cancer 2025 View