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JMIR Infodemiology|September 20, 2023
Effective Infodemic Management: A Substantive Article of the Pandemic AccordKazuho Taguchi, Precious Matsoso, Roland Driece, et al.
JMIR Infodemiology|April 28, 2023
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 PostsJiaxi Wu, Juan Manuel Origgi, Lynsie R Ranker, et al.
JMIR Infodemiology|April 28, 2023
Constituents' Inferences of Local Governments' Goals and the Relationship Between Political Party and Belief in COVID-19 Misinformation: Cross-sectional Survey of Twitter Followers of State Public Health DepartmentsHannah Stevens, Nicholas A Palomares
JMIR Infodemiology|April 28, 2023
Correction: Health Literacy, Equity, and Communication in the COVID-19 Era of Misinformation: Emergence of Health Information Professionals in Infodemic ManagementRamona Kyabaggu, Deneice Marshall, Patience Ebuwei, et al.
JMIR Infodemiology|August 27, 2021
Desensitization to Fear-Inducing COVID-19 Health News on Twitter: Observational StudyHannah R Stevens, Yoo Jung Oh, Laramie D Taylor
JMIR Infodemiology|August 23, 2022
Physical Distancing and Social Media Use in Emerging Adults and Adults During the COVID-19 Pandemic: Large-scale Cross-sectional and Longitudinal Survey StudyThabo van Woudenberg, Moniek Buijzen, Roy Hendrikx, et al.
JMIR Infodemiology|November 9, 2022
COVID-19 Health Beliefs Regarding Mask Wearing and Vaccinations on Twitter: Deep Learning ApproachSi Yang Ke, E Shannon Neeley-Tass, Michael Barnes, et al.
JMIR Infodemiology|December 19, 2025
Internet Memes as Drivers of Health Narratives and Infodemics: Integrative ReviewAlvaro Carmona Pestaña, Iván Herrera-Peco, Beatriz Jiménez-Gómez, et al.
JMIR Infodemiology|January 6, 2026
Marketing Strategies and Factors Influencing the Popularity of Alcohol Videos from Official Brand Accounts on Douyin: Content Analysis StudyYuchen Zhao, Lingyun Zhang, Chenyu Qian, et al.
JMIR Infodemiology|November 4, 2025
Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal AnalysisGrigori Sidorov, Muhammad Ahmad, Pierpaolo Basile, et al.
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