Related Experiment Video
Updated: Feb 10, 2026

A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
Published on: May 5, 2009
Drug information, misinformation, and disinformation on social media: a content analysis study
Khalid A J Al Khaja1, Alwaleed K AlKhaja2, Reginald P Sequeira3
1Department of Pharmacology & Therapeutics, College of Medicine & Medical Sciences, Arabian Gulf University, P.O. Box 22979, Manama, Kingdom of Bahrain. khlidj@agu.edu.bh.
Abstract:
Dissemination of misleading drug information through social media can be detrimental to the health of the public. This study, carried out in Bahrain, evaluated the truthfulness of 22 social media claims about drugs (72.7%), dietary supplements (22.7%), and toxic bisphenol-A (4.5%). They circulated on WhatsApp platform, as case studies. We categorized claims as objectively true, false, or potentially misleading. The content analysis revealed that "potentially misleading" claims were the most frequent messages (59.1%). They tend to exaggerate the efficacy or safety without sufficient evidence to substantiate claims. False claims (27.3%) were likely due to unfair competition or deception. Overall, 13.6% of the messages were objectively true claims that could withstand regulatory scrutiny. Majority of the drug-related messages on social media were potentially misleading or false claims that lacked credible evidence to support them. In the public interest, regulatory authorities should monitor such information disseminated via social media platforms.
More Related Videos
10:41Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
Published on: May 26, 2018
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
Social Proof
Social Scripts
Stereotype Content Model
Social Traps
Social Exchange Theory
Social Facilitation