Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management

User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

Hyojin Chin, Gabriel Lima, Mingi Shin, Assem Zhunis, Chiyoung Cha, Junghoi Choi, Meeyoung Cha

J Med Internet Res 2023;25:e40922

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Association Between Purchase of Over-the-Counter Medications and Ovarian Cancer Diagnosis in the Cancer Loyalty Card Study (CLOCS): Observational Case-Control Study

Hannah R Brewer, Yasemin Hirst, Marc Chadeau-Hyam, Eric Johnson, Sudha Sundar, James M Flanagan

JMIR Public Health Surveill 2023;9:e41762

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Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study

Raphael Cuomo, Vidya Purushothaman, Alec J Calac, Tiana McMann, Zhuoran Li, Tim Mackey

JMIR Form Res 2023;7:e42162

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Facebook Intervention for Young-Onset Melanoma Survivors and Families: Protocol for a Randomized Controlled Trial

Sharon Manne, Sherry Pagoto, Susan Peterson, Carolyn Heckman, Deborah Kashy, Adam Berger, Christina Studts, Rosalyn Negrón, David Buller, Lisa Paddock, Joseph Gallo, Alexandria Kulik, Sara Frederick, Morgan Pesanelli, Mara Domider, Marissa Grosso

JMIR Res Protoc 2023;12:e39640

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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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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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An Exploratory Study of Medical Journal’s Twitter Use: Metadata, Networks, and Content Analyses

Donghun Kim, Woojin Jung, Ting Jiang, Yongjun Zhu

J Med Internet Res 2023;25:e43521

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Monkeypox Content on TikTok: Cross-sectional Analysis

Antonio Ji-Xu, Kyaw Zin Htet, Kieron S Leslie

J Med Internet Res 2023;25:e44697

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Estimation of Bedtimes of Reddit Users: Integrated Analysis of Time Stamps and Surveys

William U Meyerson, Sarah K Fineberg, Ye Kyung Song, Adam Faber, Garrett Ash, Fernanda C Andrade, Philip Corlett, Mark B Gerstein, Rick H Hoyle

JMIR Form Res 2023;7:e38112

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The Effect of the COVID-19 Pandemic on Digital Health–Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends

Robin van Kessel, Ilias Kyriopoulos, Brian Li Han Wong, Elias Mossialos

J Med Internet Res 2023;25:e42401

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Comparison of the Users’ Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study

Yongjie Li, Xiangyu Yan, Zekun Wang, Mingchang Ma, Bo Zhang, Zhongwei Jia

JMIR Public Health Surveill 2023;9:e34132

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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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