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Synthetic Cannabinoids in Prisons: Content Analysis of TikToks

JMIR Infodemiology 2022;2(1):e37632

6262 9 4
TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study

JMIR Infodemiology 2024;4(1):e54663

5389 6 50
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

4409 24 7
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study

JMIR Infodemiology 2023;3(1):e48189

3432 12 0
Exploring How Youth Use TikTok for Mental Health Information in British Columbia: Semistructured Interview Study With Youth

JMIR Infodemiology 2024;4(1):e53233

2710 47 12
Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study

JMIR Infodemiology 2024;4(1):e51127

2312 9 13
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

JMIR Infodemiology 2023;3(1):e48620

1744 7 28
The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review

JMIR Infodemiology 2025;5(1):e70413

1421 6 1
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

JMIR Infodemiology 2021;1(1):e30979

1336 271 106
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

1309 153 35
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

994 27 18
Understanding and Combating Misinformation: An Evolutionary Perspective

JMIR Infodemiology 2024;4(1):e65521

992 4 7
Ethical Considerations in Infodemic Management: Systematic Scoping Review

JMIR Infodemiology 2024;4(1):e56307

928 8 12
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis

JMIR Infodemiology 2023;3(1):e42810

881 6 13
Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

JMIR Infodemiology 2024;4(1):e60678

876 2 3
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis

JMIR Infodemiology 2023;3(1):e40575

807 7 6
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

803 116 61
Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

JMIR Infodemiology 2024;4(1):e59641

784 2 14
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

751 17 71
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis

JMIR Infodemiology 2023;3(1):e43548

703 157 14
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

JMIR Infodemiology 2022;2(2):e38316

698 28 12
Physical Activity Misinformation on Social Media: Systematic Review

JMIR Infodemiology 2025;5(1):e62760

691 0 0
How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches

JMIR Infodemiology 2025;5(1):e67464

673 0 1
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

664 76 35
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

610 4 9

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