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

Ruoyu Zhang, Kazuko Kimura, Naoko Yoshida

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DOI: 10.2196/91103
Published: 2026-06-19
Container: Journal of Medical Internet Research
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/91103,
  title = {Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study},
  author = {Ruoyu Zhang and Kazuko Kimura and Naoko Yoshida},
  year = {2026},
  journal = {Journal of Medical Internet Research},
  doi = {10.2196/91103},
  url = {https://doi.org/10.2196/91103}
}

RIS

TY  - JOUR
TI  - Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
AU  - Ruoyu Zhang
AU  - Kazuko Kimura
AU  - Naoko Yoshida
PY  - 2026
JO  - Journal of Medical Internet Research
DO  - 10.2196/91103
UR  - https://doi.org/10.2196/91103
ER  -

APA

Zhang, R., Kimura, K., & Yoshida, N. (2026). Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study. Journal of Medical Internet Research. https://doi.org/10.2196/91103

Source records

crossref · retrieved 2026-09-24T18:25:08.249Z