Discourse

Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research

Yasuhiro Kotera, Riddhi Daryanani, Oliver Skipper, Jonathan Simpson, Simran Takhi, Merly McPhilbin, Benjamin-Rose Ingall, Mariam Namasaba, Jessica Jepps, Vanessa Kellermann, Divya Bhandari, Yasutaka Ojio, Amy Ronaldson, Estefania Guerrero, Tesnime Jebara, Claire Henderson, Mike Slade, Sara Vilar-Lluch

JMIR Form Res 2025 (Feb 21); 9:e64087

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Influence of Disease-Related Stigma on Patients’ Decisions to Upload Medical Reports to the German Electronic Health Record: Randomized Controlled Trial

Niklas von Kalckreuth, Markus A Feufel

JMIR Hum Factors 2024 (Apr 10); 11:e52625

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Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis

Dan Heaton, Elena Nichele, Jérémie Clos, Joel E Fischer

J Med Internet Res 2024 (Feb 01); 26:e50388

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Incivility in COVID-19 Vaccine Mandate Discourse and Moral Foundations: Natural Language Processing Approach

Jason Tin, Hannah Stevens, Muhammad Ehab Rasul, Laramie D Taylor

JMIR Form Res 2023 (Nov 29); 7:e50367

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Twitter Misinformation Discourses About Vaping: Systematic Content Analysis

Ahmed Al-Rawi, Breanna Blackwell, Kiana Zemenchik, Kelley Lee

J Med Internet Res 2023 (Nov 10); 25:e49416

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Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study

Andrew Lustig, Gavin Brookes

JMIR Infodemiology 2023 (Sep 29); 3:e48189

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Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets

Zainab Zaidi, Mengbin Ye, Fergus Samon, Abdisalan Jama, Binduja Gopalakrishnan, Chenhao Gu, Shanika Karunasekera, Jamie Evans, Yoshihisa Kashima

J Med Internet Res 2023 (Aug 08); 25:e45069

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Investigating COVID-19’s Impact on Mental Health: Trend and Thematic Analysis of Reddit Users’ Discourse

Jianfeng Zhu, Neha Yalamanchi, Ruoming Jin, Deric R Kenne, NhatHai Phan

J Med Internet Res 2023 (Jul 12); 25:e46867

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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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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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Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts

Gabriel Lindelöf, Talayeh Aledavood, Barbara Keller

J Med Internet Res 2023 (Apr 12); 25:e41319

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A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis

Susan Park, Young-Kyoon Suh

J Med Internet Res 2023 (Jan 31); 25:e42623

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Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach

Weiai Wayne Xu, Jean Marie Tshimula, Ève Dubé, Janice E Graham, Devon Greyson, Noni E MacDonald, Samantha B Meyer

JMIR Infodemiology 2022 (Dec 09); 2(2):e41198

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Consumer-Generated Discourse on Cannabis as a Medicine: Scoping Review of Techniques

Sedigheh Khademi Habibabadi, Christine Hallinan, Yvonne Bonomo, Mike Conway

J Med Internet Res 2022 (Nov 16); 24(11):e35974

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Examining the Twitter Discourse on Dementia During Alzheimer’s Awareness Month in Canada: Infodemiology Study

Juanita-Dawne Bacsu, Allison Cammer, Soheila Ahmadi, Mehrnoosh Azizi, Karl S Grewal, Shoshana Green, Rory Gowda-Sookochoff, Corinne Berger, Sheida Knight, Raymond J Spiteri, Megan E O'Connell

JMIR Form Res 2022 (Oct 26); 6(10):e40049

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The Influence of Provaping “Gatewatchers” on the Dissemination of COVID-19 Misinformation on Twitter: Analysis of Twitter Discourse Regarding Nicotine and the COVID-19 Pandemic

Nathan Silver, Elexis Kierstead, Ganna Kostygina, Hy Tran, Jodie Briggs, Sherry Emery, Barbara Schillo

J Med Internet Res 2022 (Sep 22); 24(9):e40331

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Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights

Hannah Stevens, Muhammad Ehab Rasul, Yoo Jung Oh

JMIR Infodemiology 2022 (Sep 13); 2(2):e37635

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Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts

Dexia Kong, Anfan Chen, Jingwen Zhang, Xiaoling Xiang, W Q Vivian Lou, Timothy Kwok, Bei Wu

J Med Internet Res 2022 (Sep 02); 24(9):e39805

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Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study

William Baker, Jason B Colditz, Page D Dobbs, Huy Mai, Shyam Visweswaran, Justin Zhan, Brian A Primack

JMIR Med Inform 2022 (Jul 21); 10(7):e33678

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The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding

Loni Hagen, Ashley Fox, Heather O'Leary, DeAndre Dyson, Kimberly Walker, Cecile A Lengacher, Raquel Hernandez

JMIR Infodemiology 2022 (Jun 30); 2(1):e34231

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