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JMIR Infodemiology|July 28, 2025
Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing ApproachJulina Maharjan, Ruoming Jin, Jennifer King, et al.
JMIR Infodemiology|June 25, 2025
Exploring Social Media Posts on Lifestyle Behaviors: Sentiment and Content AnalysisYan Yee Yip, Mohd Ridzwan Yaakub, Mohd Makmor-Bakry, et al.
JMIR Infodemiology|September 15, 2025
Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI TechnologiesAntónio Bandeira, Luis Henrique Gonçalves, Felix Holl, et al.
JMIR Infodemiology|June 16, 2025
Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional StudyJavier Alvarez-Galvez, Carolina Lagares-Franco, Esther Ortega-Martin, et al.
JMIR Infodemiology|June 23, 2025
Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods StudyPatrick Baxter, Meng-Hao Li, Jiaxin Wei, et al.
JMIR Infodemiology|March 19, 2024
Government-Nongovernmental Organization (NGO) Collaboration in Macao's COVID-19 Vaccine Promotion: Social Media Case StudyXuechang Xian, Rostam J Neuwirth, Angela Chang
JMIR Infodemiology|March 27, 2024
Development of a Medical Social Media Ethics Scale and Assessment of #IRad, #CardioTwitter, and #MedTwitter Posts: Mixed Methods StudyVongai Christine Mlambo, Eric Keller, Caroline Mussatto, et al.
JMIR Infodemiology|August 29, 2024
Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation StudyMichael S Deiner, Vlad Honcharov, Jiawei Li, et al.
JMIR Infodemiology|August 29, 2024
Ethical Considerations in Infodemic Management: Systematic Scoping ReviewFederico Germani, Giovanni Spitale, Sandra Varaidzo Machiri, et al.
JMIR Infodemiology|September 13, 2024
The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping ReviewAlexandra Almeida, Thomas Patton, Mike Conway, et al.
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