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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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| 1156 | 271 | 92 | |
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Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study
JMIR Infodemiology 2021;1(1):e26769
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| 674 | 17 | 68 | |
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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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| 734 | 116 | 55 | |
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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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| 298 | 163 | 41 | |
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Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study
JMIR Infodemiology 2021;1(1):e26876
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| 543 | 76 | 31 | |
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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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| 1191 | 153 | 28 | |
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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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| 276 | 16 | 27 | |
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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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| 370 | 72 | 25 | |
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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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| 108 | 29 | 25 | |
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Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study
JMIR Infodemiology 2021;1(1):e32127
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| 121 | 10 | 25 | |
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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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| 217 | 3 | 23 | |
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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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| 107 | 19 | 21 | |
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Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study
JMIR Infodemiology 2021;1(1):e33330
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| 169 | 11 | 21 | |
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COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
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| 370 | 118 | 21 | |
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Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts
JMIR Infodemiology 2022;2(1):e33909
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| 205 | 5 | 21 | |
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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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| 3700 | 6 | 21 | |
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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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| 192 | 9 | 20 | |
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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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| 1335 | 7 | 18 | |
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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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| 316 | 22 | 17 | |
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Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022;2(1):e37115
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| 316 | 32 | 17 | |
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Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study
JMIR Infodemiology 2022;2(1):e33587
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| 125 | 21 | 16 | |
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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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| 148 | 14 | 16 | |
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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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| 350 | 4 | 16 | |
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Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
JMIR Infodemiology 2022;2(1):e31259
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| 107 | 15 | 15 | |
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Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights
JMIR Infodemiology 2022;2(2):e37635
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| 182 | 15 | 14 | |