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Synthetic Cannabinoids in Prisons: Content Analysis of TikToks

JMIR Infodemiology 2022;2(1):e37632

628 9 0
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

268 24 1
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis

JMIR Infodemiology 2023;3(1):e43548

251 143 0
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

JMIR Infodemiology 2023;3(1):e44207

247 153 5
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

221 116 31
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

JMIR Infodemiology 2023;3(1):e44714

207 24 0
Media Data and Vaccine Hesitancy: Scoping Review

JMIR Infodemiology 2022;2(2):e37300

170 4 2
A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

JMIR Infodemiology 2021;1(1):e30979

157 271 57
Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts

JMIR Infodemiology 2023;3(1):e41672

112 2 0
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

107 14 0
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

105 4 9
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study

JMIR Infodemiology 2021;1(1):e26876

102 76 21
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

95 17 41
Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis

JMIR Infodemiology 2023;3(1):e40802

80 3 0
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

71 33 0
Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

JMIR Infodemiology 2022;2(1):e33909

63 5 15
Skin Cancer Narratives on Instagram: Content Analysis

JMIR Infodemiology 2022;2(1):e34940

61 11 4
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

61 15 5
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

JMIR Infodemiology 2022;2(1):e33827

59 8 7
Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science

JMIR Infodemiology 2023;3(1):e40156

52 5 1
Advancing Infodemiology in a Digital Intensive Era

JMIR Infodemiology 2022;2(1):e37115

51 32 8
Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

JMIR Infodemiology 2022;2(1):e32335

51 16 11
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

JMIR Infodemiology 2022;2(2):e38316

50 28 6
Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

JMIR Infodemiology 2022;2(2):e41198

48 6 2
The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis

JMIR Infodemiology 2023;3(1):e43001

48 3 0

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