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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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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

2 40 0
The Impact of the Online COVID-19 Infodemic on French Red Cross Actors’ Field Engagement and Protective Behaviors: Mixed Methods Study

JMIR Infodemiology 2021;1(1):e27472

2 17 0
Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

JMIR Infodemiology 2022;2(2):e41198

0 6 0
COVID-19–Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages

JMIR Infodemiology 2023;3:e38607

0 19 0
Users’ Modifications to Electronic Nicotine Delivery Systems: Content Analysis of YouTube Video Comments

JMIR Infodemiology 2022;2(2):e38268

0 11 0
Media Data and Vaccine Hesitancy: Scoping Review

JMIR Infodemiology 2022;2(2):e37300

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Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

JMIR Infodemiology 2022;2(2):e36871

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Skin Cancer Narratives on Instagram: Content Analysis

JMIR Infodemiology 2022;2(1):e34940

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Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study

JMIR Infodemiology 2021;1(1):e33330

0 11 0
Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis

JMIR Infodemiology 2022;2(1):e32372

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Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study

JMIR Infodemiology 2022;2(1):e31732

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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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Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study

JMIR Infodemiology 2021;1(1):e26895

0 9 0
Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook

JMIR Infodemiology 2022;2(2):e40198

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The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets

JMIR Infodemiology 2022;2(2):e38573

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Web-Based Perspectives of Deemed Consent Organ Donation Legislation in Nova Scotia: Thematic Analysis of Commentary in Facebook Groups

JMIR Infodemiology 2022;2(2):e38242

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The Role of Information Boxes in Search Engine Results for Symptom Searches: Analysis of Archival Data

JMIR Infodemiology 2022;2(2):e37286

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COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020

JMIR Infodemiology 2022;2(1):e36215

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Factors Affecting Physicians’ Credibility on Twitter When Sharing Health Information: Online Experimental Study

JMIR Infodemiology 2022;2(1):e34525

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Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples

JMIR Infodemiology 2022;2(1):e33184

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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

0 16 0
Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

JMIR Infodemiology 2021;1(1):e31671

0 5 0
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

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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:e40156

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