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

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Published in:Journal of Medical Internet Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Medical Internet Research
description
discipline_display Internal Medicine
discipline_facet Internal Medicine
format Online Article
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genre Journal Article
id rss_article:94316
institution FRELIP
journal_source_facet Journal of Medical Internet Research
last_indexed 2026-06-21T03:36:47.161Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
Internal Medicine
General
Internal Medicine
sub_discipline_display General
sub_discipline_facet General
subject_display Internal Medicine
General
Internal Medicine
subject_facet Internal Medicine
General
Internal Medicine
title Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_alt Métodos para detectar información sospechosa a partir de transacciones individuales de productos farmacéuticos a través de Twitter (ahora X): Estudio observacional retrospectivo
Méthodes de détection d'informations suspectes à partir de transactions individuelles de produits pharmaceutiques via Twitter (maintenant X) : étude observationnelle rétrospective
Métodos para Detectar Informações Suspeitas a Partir de Transações Individuais de Produtos Farmacêuticos via Twitter (agora X): Estudo Observacional Retrospectivo
title_auth Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_es_txt Métodos para detectar información sospechosa a partir de transacciones individuales de productos farmacéuticos a través de Twitter (ahora X): Estudio observacional retrospectivo
title_fr_txt Méthodes de détection d'informations suspectes à partir de transactions individuelles de produits pharmaceutiques via Twitter (maintenant X) : étude observationnelle rétrospective
title_full Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_fullStr Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_full_unstemmed Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_pt_txt Métodos para Detectar Informações Suspeitas a Partir de Transações Individuais de Produtos Farmacêuticos via Twitter (agora X): Estudo Observacional Retrospectivo
title_short Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study
title_sort methods for detecting suspicious information from individual transactions of pharmaceutical products via twitter (now x): retrospective observational study
topic Internal Medicine
General
Internal Medicine
url https://www.jmir.org/2026/1/e91103