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JMIR Infodemiology|November 9, 2022
Negative COVID-19 Vaccine Information on Twitter: Content AnalysisNiko Yiannakoulias, J Connor Darlington, Catherine E Slavik, et al.JMIR Infodemiology|November 9, 2022
Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining StudyBente Christensen, Daniel Laydon, Tadeusz Chelkowski, et al.JMIR Infodemiology|November 24, 2022
COVID-19-Related Health Inequalities Induced by the Use of Social Media: Systematic ReviewYi Shan, Meng Ji, Wenxiu Xie, et al.JMIR Infodemiology|May 19, 2022
Themes Surrounding COVID-19 and Its Infodemic: Qualitative Analysis of the COVID-19 Discussion on the Multidisciplinary Healthcare Information for All Health ForumRakshith Gangireddy, Stuti Chakraborty, Neil Pakenham-Walsh, et al.JMIR Infodemiology|April 28, 2023
COVID-19-Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp MessagesAnjana E Sharma, Kiran Khosla, Kameswari Potharaju, et al.JMIR Infodemiology|April 28, 2023
Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' CommentsPhilipp A Toussaint, Maximilian Renner, Sebastian Lins, et al.JMIR Infodemiology|April 28, 2023
Confounding Effect of Undergraduate Semester-Driven "Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and DemonstrationTimber Gillis, Scott GarrisonJMIR Infodemiology|April 28, 2023
Synthetic Cannabinoids in Prisons: Content Analysis of TikToksTiana J McMann, Alec Calac, Matthew Nali, et al.JMIR Infodemiology|April 28, 2023
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across MediaEhsan Mohammadi, Iman Tahamtan, Yazdan Mansourian, et al.JMIR Infodemiology|April 28, 2023
Factors Affecting Physicians' Credibility on Twitter When Sharing Health Information: Online Experimental StudyDaJuan Ferrell, Celeste Campos-CastilloPageof 28