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

JMIR Infodemiology 2021;1(1):e26876

4 76 1
Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study

JMIR Infodemiology 2021;1(1):e26769

0 17 1
Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study

JMIR Infodemiology 2022;2(2):e39504

0 7 0
Social Listening to Enhance Access to Appropriate Pandemic Information Among Culturally Diverse Populations: Case Study From Finland

JMIR Infodemiology 2022;2(2):e38343

0 21 0
Media Data and Vaccine Hesitancy: Scoping Review

JMIR Infodemiology 2022;2(2):e37300

0 4 0
COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020

JMIR Infodemiology 2022;2(1):e36215

0 16 0
Factors Affecting Physicians’ Credibility on Twitter When Sharing Health Information: Online Experimental Study

JMIR Infodemiology 2022;2(1):e34525

0 8 0
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

0 11 0
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

0 15 0
Data Exploration and Classification of News Article Reliability: Deep Learning Study

JMIR Infodemiology 2022;2(2):e38839

0 3 0
Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

JMIR Infodemiology 2022;2(2):e38316

0 26 0
The Role of Information Boxes in Search Engine Results for Symptom Searches: Analysis of Archival Data

JMIR Infodemiology 2022;2(2):e37286

0 4 0
Promoting Social Distancing and COVID-19 Vaccine Intentions to Mothers: Randomized Comparison of Information Sources in Social Media Messages

JMIR Infodemiology 2022;2(2):e36210

0 6 0
Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration

JMIR Infodemiology 2022;2(2):e34464

0 6 0
The Moderating Role of Community Capacity for Age-friendly Communication in Mitigating Anxiety of Older Adults During the COVID-19 Infodemic: Cross-sectional Survey

JMIR Infodemiology 2022;2(1):e33029

0 7 0
Metadata Correction: “Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational Study”

JMIR Infodemiology 2021;1(1):e32231

0 6 0
The Evolution of Public Sentiments During the COVID-19 Pandemic: Case Comparisons of India, Singapore, South Korea, the United Kingdom, and the United States

JMIR Infodemiology 2022;2(1):e31473

0 7 0
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

0 49 0
COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic

JMIR Infodemiology 2022;2(2):e38756

0 7 0
Users’ Modifications to Electronic Nicotine Delivery Systems: Content Analysis of YouTube Video Comments

JMIR Infodemiology 2022;2(2):e38268

0 11 0
Infodemic Management Using Digital Information and Knowledge Cocreation to Address COVID-19 Vaccine Hesitancy: Case Study From Ghana

JMIR Infodemiology 2022;2(2):e37134

0 3 0
Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis

JMIR Infodemiology 2022;2(2):e35702

0 12 0
The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

JMIR Infodemiology 2022;2(1):e34231

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