Works matching IS 25641891 AND DT 2023 AND VI 3 AND IP 1
Results: 40
Effective Infodemic Management:A Substantive Article of the Pandemic Accord.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/51760
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- Article
Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43700
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- Article
COVID-19–Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/38607
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Addressing Antivaccine Sentiment on Public Social Media Forums Through Web-Based Conversations Based on Motivational Interviewing Techniques: Observational Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/50138
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- Article
Public Officials’ Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/41582
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- Article
Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/41863
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- Article
Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43891
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- Article
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/34315
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- Article
Using COVID-19 Vaccine Attitudes on Twitter to Improve Vaccine Uptake Forecast Models in the United States: Infodemiology Study of Tweets.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43703
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- Article
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/48189
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- Article
Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43685
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- Article
Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40575
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- Publication type:
- Article
Attitudes of Swedish Language Twitter Users Toward COVID-19 Vaccination: Exploratory Qualitative Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/42357
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- Publication type:
- Article
Sharing Reliable COVID-19 Information and Countering Misinformation: In-Depth Interviews With Information Advocates.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/47677
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- Publication type:
- Article
Compliance With the US Food and Drug Administration’s Guidelines for Health Warning Labels and Engagement in Little Cigar and Cigarillo Content: Computer Vision Analysis of Instagram Posts.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/41969
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- Publication type:
- Article
News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43011
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- Publication type:
- Article
Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/38245
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- Publication type:
- Article
Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/39895
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- Article
Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43548
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- Article
Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40802
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- Publication type:
- Article
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/48620
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- Article
The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43001
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- Publication type:
- Article
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43694
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- Publication type:
- Article
Using Machine Learning Technology (Early Artificial Intelligence–Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/47317
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- Publication type:
- Article
Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40156
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- Publication type:
- Article
Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/38390
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- Publication type:
- Article
Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/43646
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- Publication type:
- Article
Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/44714
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- Article
Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40913
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- Article
Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/44207
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- Publication type:
- Article
Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/39209
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- Article
YouTube Videos on Nutrition and Dental Caries: Content Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40003
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- Publication type:
- Article
Expert Credibility and Sentiment in Infodemiology of Hydroxychloroquine’s Efficacy on Cable News Programs: Empirical Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/45392
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- Article
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/42810
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- Publication type:
- Article
State and Federal Legislators’ Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/38676
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- Publication type:
- Article
Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/40005
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- Publication type:
- Article
Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/42218
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- Publication type:
- Article
Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/41672
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- Article
Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder:Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/37207
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- Publication type:
- Article
Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method.
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- JMIR Infodemiology, 2023, v. 3, n. 1, p. 1, doi. 10.2196/42721
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- Article