| 1.
TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study
JMIR Infodemiology 2024;4(1):e54663
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| 7409 | 6 | 101 | |
| 2.
Synthetic Cannabinoids in Prisons: Content Analysis of TikToks
JMIR Infodemiology 2022;2(1):e37632
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| 6381 | 9 | 4 | |
| 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
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| 4676 | 24 | 8 | |
| 4.
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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| 3649 | 12 | 0 | |
| 5.
Exploring How Youth Use TikTok for Mental Health Information in British Columbia: Semistructured Interview Study With Youth
JMIR Infodemiology 2024;4(1):e53233
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| 3640 | 47 | 20 | |
| 6.
Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study
JMIR Infodemiology 2024;4(1):e51127
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| 3527 | 9 | 29 | |
| 7.
The Impact of Misinformation on Social Media in the Context of Natural Disasters: Narrative Review
JMIR Infodemiology 2025;5(1):e70413
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| 3217 | 6 | 5 | |
| 8.
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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| 2098 | 7 | 38 | |
| 9.
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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| 1511 | 271 | 117 | |
| 10.
How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches
JMIR Infodemiology 2025;5(1):e67464
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| 1492 | 0 | 4 | |
| 11.
Understanding and Combating Misinformation: An Evolutionary Perspective
JMIR Infodemiology 2024;4(1):e65521
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| 1460 | 4 | 7 | |
| 12.
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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| 1460 | 153 | 40 | |
| 13.
Physical Activity Misinformation on Social Media: Systematic Review
JMIR Infodemiology 2025;5(1):e62760
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| 1374 | 0 | 1 | |
| 14.
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis
JMIR Infodemiology 2023;3(1):e42810
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| 1074 | 6 | 16 | |
| 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
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| 1067 | 27 | 19 | |
| 16.
Ethical Considerations in Infodemic Management: Systematic Scoping Review
JMIR Infodemiology 2024;4(1):e56307
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| 1064 | 8 | 16 | |
| 17.
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
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| 978 | 2 | 27 | |
| 18.
Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study
JMIR Infodemiology 2024;4(1):e60678
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| 965 | 2 | 10 | |
| 19.
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis
JMIR Infodemiology 2023;3(1):e40575
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| 916 | 7 | 7 | |
| 20.
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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| 883 | 116 | 63 | |
| 21.
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study
JMIR Infodemiology 2022;2(2):e38316
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| 807 | 28 | 13 | |
| 22.
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
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| 800 | 17 | 80 | |
| 23.
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis
JMIR Infodemiology 2023;3(1):e43548
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| 788 | 157 | 16 | |
| 24.
Online Information About Side Effects and Safety Concerns of Semaglutide: Mixed Methods Study of YouTube Videos
JMIR Infodemiology 2025;5(1):e59767
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| 782 | 0 | 6 | |
| 25.
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
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| 779 | 76 | 37 | |