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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

8071 7 131
2. A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

JMIR Infodemiology 2021;1(1):e30979

1585 271 125
3. Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

832 17 80
4. 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

921 116 64
5. Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study

JMIR Infodemiology 2021;1(1):e28800

405 163 49
6. Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

1503 153 41
7. The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis

JMIR Infodemiology 2023;3(1):e48620

2375 7 41
8. Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study

JMIR Infodemiology 2024;4(1):e51127

4112 9 39
9. Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

805 76 38
10. 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

1057 2 34
11. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

JMIR Infodemiology 2022;2(1):e32335

387 16 30
12. 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

505 72 28
13. COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis

JMIR Infodemiology 2022;2(1):e32452

536 118 28
14. Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana

JMIR Infodemiology 2022;2(2):e37134

285 3 28
15. Examining the Public’s Most Frequently Asked Questions Regarding COVID-19 Vaccines Using Search Engine Analytics in the United States: Observational Study

JMIR Infodemiology 2021;1(1):e28740

158 29 27
16. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

JMIR Infodemiology 2021;1(1):e32127

185 10 26
17. Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study

JMIR Infodemiology 2021;1(1):e33330

276 11 24
18. The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends

JMIR Infodemiology 2021;1(1):e29929

164 19 22
19. Health Literacy, Equity, and Communication in the COVID-19 Era of Misinformation: Emergence of Health Information Professionals in Infodemic Management

JMIR Infodemiology 2022;2(1):e35014

487 22 22
20. Exploring How Youth Use TikTok for Mental Health Information in British Columbia: Semistructured Interview Study With Youth

JMIR Infodemiology 2024;4(1):e53233

3959 47 22
21. 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

1092 27 21
22. Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

JMIR Infodemiology 2022;2(1):e33909

281 5 21
23. Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study

JMIR Infodemiology 2021;1(1):e26895

263 9 21
24. Ethical Considerations in Infodemic Management: Systematic Scoping Review

JMIR Infodemiology 2024;4(1):e56307

1130 8 20
25. Advancing Infodemiology in a Digital Intensive Era

JMIR Infodemiology 2022;2(1):e37115

436 32 20

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