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JMIR Infodemiology|April 17, 2025
Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 PandemicJulina Maharjan, Jianfeng Zhu, Jennifer King, et al.
JMIR Infodemiology|April 2, 2025
Mental Health and Coping Strategies of Health Communicators Who Faced Online Abuse During the COVID-19 Pandemic: Mixed Methods StudyLisa Wight, Chris Tenove, Saima Hirani, et al.
JMIR Infodemiology|April 17, 2025
Exploring the Use of Social Media for Activism by Mexican Nongovernmental Organizations Using Posts From the 16 Days of Activism Against Gender-Based Violence Campaign: Thematic Content AnalysisMarian Marian, Ramona L Pérez, Elizabeth Reed, et al.
JMIR Infodemiology|March 7, 2025
Using Natural Language Processing Methods to Build the Hypersexuality in Bipolar Reddit Corpus: Infodemiology Study of RedditDaisy Harvey, Paul Rayson, Fiona Lobban, et al.
JMIR Infodemiology|May 9, 2024
The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network AnalysisGeneviève Jessiman-Perreault, Jean-Christophe Boucher, So Youn Kim, et al.
JMIR Infodemiology|April 30, 2024
Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey StudyAnna Gaysynsky, Nicole Senft Everson, Kathryn Heley, et al.
JMIR Infodemiology|December 21, 2023
Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter UsersRyuichiro Ueda, Feng Han, Hongjian Zhang, et al.
JMIR Infodemiology|July 7, 2026
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing-Assisted Qualitative StudyChristopher J Counts, Anthony V Spadaro, Sahithi Lakamana, et al.
JMIR Infodemiology|July 27, 2026
Impact of Repeated Exposure to Polarized Health-Related News on Explicit and Implicit Attitudes Toward Dietary Supplements: Online Experimental StudyEugen-Călin Secară, Nicolae-Adrian Opre
JMIR Infodemiology|August 19, 2026
Comparative Content Analysis and Expert Physician Risk Assessment of Aesthetic Procedures Promoted on TikTok in Taiwan: Quantitative StudyCheng-Jung Wu, Sheng-Yu Wu, Cheng-Yu Tsai, et al.
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