|
Synthetic Cannabinoids in Prisons: Content Analysis of TikToks
JMIR Infodemiology 2022;2(1):e37632
Go back to the top of the top articles page
Skip top articles and go to footer section
| 6093 | 9 | 3 | |
|
TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study
JMIR Infodemiology 2024;4(1):e54663
Go back to the top of the top articles page
Skip top articles and go to footer section
| 4035 | 6 | 29 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 3976 | 24 | 6 | |
|
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study
JMIR Infodemiology 2023;3(1):e48189
Go back to the top of the top articles page
Skip top articles and go to footer section
| 3077 | 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 2135 | 47 | 10 | |
|
Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study
JMIR Infodemiology 2024;4(1):e51127
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1748 | 9 | 9 | |
|
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis
JMIR Infodemiology 2023;3(1):e48620
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1410 | 7 | 21 | |
|
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference
JMIR Infodemiology 2023;3(1):e44207
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1216 | 153 | 30 | |
|
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference
JMIR Infodemiology 2021;1(1):e30979
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1197 | 271 | 96 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 953 | 27 | 12 | |
|
Ethical Considerations in Infodemic Management: Systematic Scoping Review
JMIR Infodemiology 2024;4(1):e56307
Go back to the top of the top articles page
Skip top articles and go to footer section
| 810 | 8 | 8 | |
|
Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study
JMIR Infodemiology 2024;4(1):e60678
Go back to the top of the top articles page
Skip top articles and go to footer section
| 787 | 0 | 2 | |
|
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis
JMIR Infodemiology 2023;3(1):e42810
Go back to the top of the top articles page
Skip top articles and go to footer section
| 769 | 6 | 7 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 746 | 116 | 55 | |
|
Understanding and Combating Misinformation: An Evolutionary Perspective
JMIR Infodemiology 2024;4(1):e65521
Go back to the top of the top articles page
Skip top articles and go to footer section
| 694 | 4 | 3 | |
|
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
Go back to the top of the top articles page
Skip top articles and go to footer section
| 689 | 17 | 68 | |
|
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis
JMIR Infodemiology 2023;3(1):e40575
Go back to the top of the top articles page
Skip top articles and go to footer section
| 683 | 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 659 | 2 | 7 | |
|
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis
JMIR Infodemiology 2023;3(1):e43548
Go back to the top of the top articles page
Skip top articles and go to footer section
| 629 | 157 | 10 | |
|
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study
JMIR Infodemiology 2022;2(2):e38316
Go back to the top of the top articles page
Skip top articles and go to footer section
| 606 | 28 | 11 | |
|
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
Go back to the top of the top articles page
Skip top articles and go to footer section
| 557 | 76 | 34 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 543 | 3 | 0 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 531 | 3 | 6 | |
|
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media
JMIR Infodemiology 2022;2(1):e33827
Go back to the top of the top articles page
Skip top articles and go to footer section
| 527 | 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 507 | 14 | 4 | |