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Synthetic Cannabinoids in Prisons: Content Analysis of TikToks

JMIR Infodemiology 2022;2(1):e37632

5562 9 3
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

3114 24 5
TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study

JMIR Infodemiology 2024;4(1):e54663

2902 6 15
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study

JMIR Infodemiology 2023;3(1):e48189

2600 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

1591 47 6
Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study

JMIR Infodemiology 2024;4(1):e51127

1281 9 7
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

JMIR Infodemiology 2023;3(1):e48620

1248 7 15
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

1147 153 25
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

JMIR Infodemiology 2021;1(1):e30979

1102 271 89
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

926 27 11
Ethical Considerations in Infodemic Management: Systematic Scoping Review

JMIR Infodemiology 2024;4(1):e56307

718 8 2
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

703 116 51
Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

JMIR Infodemiology 2024;4(1):e60678

698 0 1
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis

JMIR Infodemiology 2023;3(1):e42810

666 6 4
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

645 17 65
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

JMIR Infodemiology 2022;2(2):e38316

575 28 10
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis

JMIR Infodemiology 2023;3(1):e43548

563 157 7
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis

JMIR Infodemiology 2023;3(1):e40575

561 7 6
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

532 2 1
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

519 76 31
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

498 3 6
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

JMIR Infodemiology 2022;2(1):e33827

490 8 11
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

474 14 4
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

JMIR Infodemiology 2023;3(1):e44714

458 31 7
Understanding and Combating Misinformation: An Evolutionary Perspective

JMIR Infodemiology 2024;4(1):e65521

446 4 0

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