| 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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                                Skip top articles and go to footer section | 1239 | 271 | 104 |  | 
| Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study 
                                JMIR Infodemiology 2021;1(1):e26769
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                                Skip top articles and go to footer section | 707 | 17 | 71 |  | 
| 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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                                Skip top articles and go to footer section | 754 | 116 | 60 |  | 
| 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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                                Skip top articles and go to footer section | 4412 | 6 | 45 |  | 
| 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
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                                Skip top articles and go to footer section | 316 | 163 | 44 |  | 
| Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study 
                                JMIR Infodemiology 2021;1(1):e26876
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                                Skip top articles and go to footer section | 577 | 76 | 34 |  | 
| 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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                                Skip top articles and go to footer section | 1236 | 153 | 33 |  | 
| Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis 
                                JMIR Infodemiology 2022;2(1):e32335
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                                Skip top articles and go to footer section | 285 | 16 | 28 |  | 
| 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
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                                Skip top articles and go to footer section | 388 | 72 | 27 |  | 
| Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study 
                                JMIR Infodemiology 2021;1(1):e32127
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                                Skip top articles and go to footer section | 122 | 10 | 26 |  | 
| Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana 
                                JMIR Infodemiology 2022;2(2):e37134
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                                Skip top articles and go to footer section | 230 | 3 | 26 |  | 
| 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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                                Skip top articles and go to footer section | 1470 | 7 | 25 |  | 
| 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
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                                Skip top articles and go to footer section | 114 | 29 | 25 |  | 
| COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis 
                                JMIR Infodemiology 2022;2(1):e32452
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                                Skip top articles and go to footer section | 393 | 118 | 22 |  | 
| Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study 
                                JMIR Infodemiology 2021;1(1):e33330
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                                Skip top articles and go to footer section | 179 | 11 | 22 |  | 
| 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
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                                Skip top articles and go to footer section | 110 | 19 | 21 |  | 
| Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts 
                                JMIR Infodemiology 2022;2(1):e33909
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                                Skip top articles and go to footer section | 219 | 5 | 21 |  | 
| Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study 
                                JMIR Infodemiology 2021;1(1):e26895
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                                Skip top articles and go to footer section | 202 | 9 | 20 |  | 
| Advancing Infodemiology in a Digital Intensive Era 
                                JMIR Infodemiology 2022;2(1):e37115
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                                Skip top articles and go to footer section | 335 | 32 | 18 |  | 
| Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis 
                                JMIR Infodemiology 2021;1(1):e25636
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                                Skip top articles and go to footer section | 167 | 14 | 18 |  | 
| 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
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                                Skip top articles and go to footer section | 338 | 22 | 18 |  | 
| Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study 
                                JMIR Infodemiology 2022;2(1):e33587
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                                Skip top articles and go to footer section | 128 | 21 | 18 |  | 
| Impact of the World Inflammatory Bowel Disease Day and Crohn’s and Colitis Awareness Week on Population Interest Between 2016 and 2020: Google Trends Analysis 
                                JMIR Infodemiology 2021;1(1):e32856
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                                Skip top articles and go to footer section | 360 | 4 | 17 |  | 
| 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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                                Skip top articles and go to footer section | 962 | 27 | 16 |  | 
| Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study 
                                JMIR Infodemiology 2022;2(1):e31259
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                                Skip top articles and go to footer section | 112 | 15 | 15 |  |