|
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
| 949 | 271 | 80 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 264 | 163 | 38 | |
|
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
| 502 | 157 | 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1017 | 153 | 22 | |
|
COVID-19 and Vitamin D Misinformation on YouTube: Content Analysis
JMIR Infodemiology 2022;2(1):e32452
Go back to the top of the top articles page
Skip top articles and go to footer section
| 325 | 118 | 19 | |
|
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
| 670 | 116 | 49 | |
|
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
| 481 | 76 | 27 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 336 | 72 | 24 | |
|
Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study
JMIR Infodemiology 2024;4(1):e51328
Go back to the top of the top articles page
Skip top articles and go to footer section
| 247 | 59 | 1 | |
|
Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas
JMIR Infodemiology 2021;1(1):e29387
Go back to the top of the top articles page
Skip top articles and go to footer section
| 72 | 49 | 8 | |
|
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
| 901 | 47 | 1 | |
|
Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence–Based Infodemiology Study
JMIR Infodemiology 2021;1(1):e31983
Go back to the top of the top articles page
Skip top articles and go to footer section
| 112 | 40 | 12 | |
|
Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study
JMIR Infodemiology 2023;3(1):e39895
Go back to the top of the top articles page
Skip top articles and go to footer section
| 193 | 36 | 0 | |
|
Advancing Infodemiology in a Digital Intensive Era
JMIR Infodemiology 2022;2(1):e37115
Go back to the top of the top articles page
Skip top articles and go to footer section
| 269 | 32 | 14 | |
|
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study
JMIR Infodemiology 2023;3(1):e44714
Go back to the top of the top articles page
Skip top articles and go to footer section
| 443 | 31 | 5 | |
|
Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis
JMIR Infodemiology 2022;2(1):e32372
Go back to the top of the top articles page
Skip top articles and go to footer section
| 66 | 29 | 6 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 97 | 29 | 24 | |
|
Themes Surrounding COVID-19 and Its Infodemic: Qualitative Analysis of the COVID-19 Discussion on the Multidisciplinary Healthcare Information for All Health Forum
JMIR Infodemiology 2022;2(1):e30167
Go back to the top of the top articles page
Skip top articles and go to footer section
| 93 | 28 | 1 | |
|
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
| 514 | 28 | 10 | |
|
Social Listening to Enhance Access to Appropriate Pandemic Information Among Culturally Diverse Populations: Case Study From Finland
JMIR Infodemiology 2022;2(2):e38343
Go back to the top of the top articles page
Skip top articles and go to footer section
| 166 | 28 | 10 | |
|
COVID-19–Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages
JMIR Infodemiology 2023;3(1):e38607
Go back to the top of the top articles page
Skip top articles and go to footer section
| 209 | 27 | 3 | |
|
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
| 873 | 27 | 10 | |
|
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
| 1986 | 24 | 5 | |
|
Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data
JMIR Infodemiology 2023;3(1):e39209
Go back to the top of the top articles page
Skip top articles and go to footer section
| 141 | 23 | 0 | |
|
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 262 | 22 | 14 | |