Theme Issue: Social Media, Ethics, and COVID-19 Misinformation

A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study

Doriane Etienne, Patrick Archambault, Donovan Aziaka, Selma Chipenda-Dansokho, Eve Dubé, Catherine S Fallon, Hina Hakim, Jason Kindrachuk, Dan Krecoum, Shannon E MacDonald, Ruth Ndjaboue, Magniol Noubi, Jean-Sébastien Paquette, Elizabeth Parent, Holly O Witteman

JMIR Form Res 2023 (Apr 25); 7:e38430

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Understanding the Public’s Attitudes Toward COVID-19 Vaccines in Nottinghamshire, United Kingdom: Qualitative Social Media Analysis

Leah Ffion Jones, Stefanie Bonfield, Jade Farrell, Dale Weston

J Med Internet Res 2023 (Mar 29); 25:e38404

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Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification

Jason Turner, Mehmed Kantardzic, Rachel Vickers-Smith, Andrew G Brown

JMIR Infodemiology 2023 (Jan 23); 3:e38390

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