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

Quality/Credibility of eHealth Information and Trust Issues (916) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2603) Infodemiology and Infoveillance (1948) New Methods (1715) Pharmacovigilance (236) Machine Learning (2987) ePrescribing and Innovations in Pharmacies (101)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91103, first published .
Man with smartphone and pill bottle.

Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study

Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study

Authors of this article:

Ruoyu Zhang1 Author Orcid Image ;   Kazuko Kimura2 Author Orcid Image ;   Naoko Yoshida1, 2, 3 Author Orcid Image
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Ruoyu Zhang   1 , MSc ;   Kazuko Kimura   2 , PhD ;   Naoko Yoshida   1, 2, 3 , PhD

1 Kanazawa University, Kanazawa, Ishikawa, Japan

2 Society for Medicines Security Research, Kanazawa, Ishikawa, Japan

3 Okayama University, Okayama, Okayama, Japan

Corresponding Author: