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Synthetic Cannabinoids in Prisons: Content Analysis of TikToks

JMIR Infodemiology 2022;2(1):e37632

2719 9 0
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study

JMIR Infodemiology 2023;3(1):e48189

1111 12 0
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

735 153 15
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

706 26 6
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

603 24 5
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

JMIR Infodemiology 2021;1(1):e30979

599 271 69
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

516 116 39
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

JMIR Infodemiology 2023;3(1):e48620

397 7 1
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

393 17 48
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

392 76 24
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis

JMIR Infodemiology 2023;3(1):e43548

386 157 0
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

JMIR Infodemiology 2023;3(1):e44714

357 28 2
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

JMIR Infodemiology 2022;2(2):e38316

342 28 8
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis

JMIR Infodemiology 2023;3(1):e42810

319 5 2
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

288 14 1
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

284 4 12
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

281 3 3
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

JMIR Infodemiology 2022;2(1):e33827

264 8 8
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis

JMIR Infodemiology 2022;2(1):e32452

238 118 16
Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts

JMIR Infodemiology 2023;3(1):e41672

231 2 2
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

223 72 20
Media Data and Vaccine Hesitancy: Scoping Review

JMIR Infodemiology 2022;2(2):e37300

220 4 2
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

220 3 0
Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' Comments

JMIR Infodemiology 2022;2(2):e38749

208 5 2
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

207 5 2

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