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Synthetic Cannabinoids in Prisons: Content Analysis of TikToks
JMIR Infodemiology 2022;2(1):e37632
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| 2795 | 9 | 0 | |
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Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study
JMIR Infodemiology 2023;3(1):e48189
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| 1171 | 12 | 0 | |
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Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference
JMIR Infodemiology 2023;3(1):e44207
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| 758 | 153 | 16 | |
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Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute
JMIR Infodemiology 2023;3(1):e43646
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| 720 | 27 | 6 | |
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Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology Study
JMIR Infodemiology 2022;2(1):e29894
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| 670 | 24 | 5 | |
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A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference
JMIR Infodemiology 2021;1(1):e30979
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| 623 | 271 | 72 | |
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Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations
JMIR Infodemiology 2021;1(1):e30971
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| 527 | 116 | 40 | |
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The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis
JMIR Infodemiology 2023;3(1):e48620
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| 410 | 7 | 2 | |
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Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
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| 399 | 17 | 49 | |
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Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
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| 393 | 76 | 24 | |
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Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis
JMIR Infodemiology 2023;3(1):e43548
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| 392 | 157 | 1 | |
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Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study
JMIR Infodemiology 2023;3(1):e44714
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| 365 | 31 | 2 | |
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Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study
JMIR Infodemiology 2022;2(2):e38316
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| 349 | 28 | 8 | |
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Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis
JMIR Infodemiology 2023;3(1):e42810
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| 338 | 6 | 2 | |
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Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study
JMIR Infodemiology 2023;3(1):e47317
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| 297 | 3 | 4 | |
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Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis
JMIR Infodemiology 2023;3(1):e38245
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| 291 | 14 | 1 | |
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Impact of the World Inflammatory Bowel Disease Day and Crohn’s and Colitis Awareness Week on Population Interest Between 2016 and 2020: Google Trends Analysis
JMIR Infodemiology 2021;1(1):e32856
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| 289 | 4 | 12 | |
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The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection
JMIR Infodemiology 2023;3(1):e43694
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| 281 | 3 | 0 | |
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Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media
JMIR Infodemiology 2022;2(1):e33827
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| 278 | 8 | 8 | |
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COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
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| 242 | 118 | 16 | |
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Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts
JMIR Infodemiology 2023;3(1):e41672
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| 233 | 2 | 2 | |
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Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale
JMIR Infodemiology 2022;2(1):e32378
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| 229 | 72 | 21 | |
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Media Data and Vaccine Hesitancy: Scoping Review
JMIR Infodemiology 2022;2(2):e37300
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| 223 | 4 | 2 | |
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Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' Comments
JMIR Infodemiology 2022;2(2):e38749
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| 219 | 5 | 2 | |
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Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science
JMIR Infodemiology 2023;3(1):e40156
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| 212 | 6 | 2 | |