Vol 3 (2023)

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

Anjana E Sharma, Kiran Khosla, Kameswari Potharaju, Arnab Mukherjea, Urmimala Sarkar

JMIR Infodemiology 2023;3:e38607

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Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference

Elisabeth Wilhelm, Isabella Ballalai, Marie-Eve Belanger, Peter Benjamin, Catherine Bertrand-Ferrandis, Supriya Bezbaruah, Sylvie Briand, Ian Brooks, Richard Bruns, Lucie M Bucci, Neville Calleja, Howard Chiou, Abhinav Devaria, Lorena Dini, Hyjel D'Souza, Adam G Dunn, Johannes C Eichstaedt, Silvia M A A Evers, Nina Gobat, Mika Gissler, Ian Christian Gonzales, Anatoliy Gruzd, Sarah Hess, Atsuyoshi Ishizumi, Oommen John, Ashish Joshi, Benjamin Kaluza, Nagwa Khamis, Monika Kosinska, Shibani Kulkarni, Dimitra Lingri, Ramona Ludolph, Tim Mackey, Stefan Mandić-Rajčević, Filippo Menczer, Vijaybabu Mudaliar, Shruti Murthy, Syed Nazakat, Tim Nguyen, Jennifer Nilsen, Elena Pallari, Natalia Pasternak Taschner, Elena Petelos, Mitchell J Prinstein, Jon Roozenbeek, Anton Schneider, Varadharajan Srinivasan, Aleksandar Stevanović, Brigitte Strahwald, Shabbir Syed Abdul, Sandra Varaidzo Machiri, Sander van der Linden, Christopher Voegeli, Claire Wardle, Odette Wegwarth, Becky K White, Estelle Willie, Brian Yau, Tina D Purnat

JMIR Infodemiology 2023;3:e44207

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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

Samaneh Omranian, Maryam Zolnoori, Ming Huang, Celeste Campos-Castillo, Susan McRoy

JMIR Infodemiology 2023;3:e37207

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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

Matthew P Abrams, Arthur P Pelullo, Zachary F Meisel, Raina M Merchant, Jonathan Purtle, Anish K Agarwal

JMIR Infodemiology 2023;3:e38676

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Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data

Wasim Ahmed, Josep Vidal-Alaball, Josep Maria Vilaseca Llobet

JMIR Infodemiology 2023;3:e39209

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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;3:e38390

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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

Sahiti Myneni, Paula Cuccaro, Sarah Montgomery, Vivek Pakanati, Jinni Tang, Tavleen Singh, Olivia Dominguez, Trevor Cohen, Belinda Reininger, Lara S Savas, Maria E Fernandez

JMIR Infodemiology 2023;3:e40156

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The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection

Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Al-Garadi

JMIR Infodemiology 2023;3:e43694

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Attitudes of Swedish Language Twitter Users Toward COVID-19 Vaccination: Exploratory Qualitative Study

Safwat Beirakdar, Leon Klingborg, Sibylle Herzig van Wees

JMIR Infodemiology 2023;3:e42357

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Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis

Vlad Honcharov, Jiawei Li, Maribel Sierra, Natalie A Rivadeneira, Kristan Olazo, Thu T Nguyen, Tim K Mackey, Urmimala Sarkar

JMIR Infodemiology 2023;3:e40575

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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

Jiaxi Wu, Juan Manuel Origgi, Lynsie R Ranker, Aruni Bhatnagar, Rose Marie Robertson, Ziming Xuan, Derry Wijaya, Traci Hong, Jessica L Fetterman

JMIR Infodemiology 2023;3:e41969

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