Vol 3, No 1 (2023): Jan-Dec

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 (Jan 05); 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 (Feb 20); 3:e44207

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Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study

Zihe Zheng, Zidian Xie, Maciej Goniewicz, Irfan Rahman, Dongmei Li

JMIR Infodemiology 2023 (Apr 20); 3:e40913

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Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study

Jacopo Lenti, Yelena Mejova, Kyriaki Kalimeri, André Panisson, Daniela Paolotti, Michele Tizzani, Michele Starnini

JMIR Infodemiology 2023 (May 24); 3:e44714

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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 (Jan 23); 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 (Feb 24); 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 (Mar 08); 3:e39209

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Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification

Dhiraj Murthy, Juhan Lee, Hassan Dashtian, Grace Kong

JMIR Infodemiology 2023 (Apr 12); 3:e42218

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Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method

Jiayu Li, Zhiyu He, Min Zhang, Weizhi Ma, Ye Jin, Lei Zhang, Shuyang Zhang, Yiqun Liu, Shaoping Ma

JMIR Infodemiology 2023 (Apr 28); 3:e42721

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Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation

Catherine Pollack, Diane Gilbert-Diamond, Tracy Onega, Soroush Vosoughi, A James O'Malley, Jennifer A Emond

JMIR Infodemiology 2023 (May 16); 3:e40005

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Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts

Claire Harter, Marina Ness, Aleah Goldin, Christine Lee, Christine Merenda, Anne Riberdy, Anindita Saha, Richardae Araojo, Michelle Tarver

JMIR Infodemiology 2023 (May 30); 3:e41672

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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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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 (Feb 03); 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 (Mar 14); 3:e43694

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The Quality, Readability, and Accuracy of the Information on Google About Cannabis and Driving: Quantitative Content Analysis

Maria Josey, Dina Gaid, Lisa D Bishop, Michael Blackwood, Maisam Najafizada, Jennifer R Donnan

JMIR Infodemiology 2023 (May 02); 3:e43001

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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 (Feb 22); 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 (Mar 10); 3:e40575

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Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi

JMIR Infodemiology 2023 (May 02); 3:e34315

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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 (Mar 14); 3:e41969

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Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis

Melissa C Eaton, Yasmine C Probst, Marc A Smith

JMIR Infodemiology 2023 (May 05); 3:e38245

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