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

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

Critical discourse analysis (CDA) is a qualitative analytical approach that critically appraises how language contributes to the production and reproduction of social inequalities through the examination of authentic uses of language [1,2]. CDA considers that linguistic expressions reflect the speakers’ and writers’ conscious or unconscious perceptions or opinions towards phenomena [1,2].

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;9:e64087

#ProtectOurElders: Analysis of Tweets About Older Asian Americans and Anti-Asian Sentiments During the COVID-19 Pandemic

#ProtectOurElders: Analysis of Tweets About Older Asian Americans and Anti-Asian Sentiments During the COVID-19 Pandemic

The objective of this study is to explore the kinds of discourse surrounding older Asian Americans during the COVID-19 crisis, specifically in relation to the surge in anti-Asian sentiments. Dating back to the nineteenth century, one of the most pervasive stereotypes of Asian Americans is that they are a high-achieving demographic [8]. While seemingly innocuous, this myth of them as a “model minority” has been criticized as highly problematic.

Reuben Ng, Nicole Indran

J Med Internet Res 2024;26:e45864

A Snapshot of COVID-19 Vaccine Discourse Related to Ethnic Minority Communities in the United Kingdom Between January and April 2022: Mixed Methods Analysis

A Snapshot of COVID-19 Vaccine Discourse Related to Ethnic Minority Communities in the United Kingdom Between January and April 2022: Mixed Methods Analysis

Despite the clear role of social media as a source of information during a pandemic and its impact on hesitancy and consequently vaccination attempts, there is little published data on its role in the public discourse on COVID-19 vaccines among ethnic minority groups in the United Kingdom.

Nazifa Ullah, Sam Martin, Shoba Poduval

JMIR Form Res 2024;8:e51152

Transformation and Articulation of Clinical Data to Understand Students’ and Health Professionals’ Clinical Reasoning: Protocol for a Scoping Review

Transformation and Articulation of Clinical Data to Understand Students’ and Health Professionals’ Clinical Reasoning: Protocol for a Scoping Review

While the analysis of the discourse of students or health care professionals can have a didactic value to promote learning or teaching of clinical reasoning and its assessment, the methods used to achieve this are less clear. In other words, what are the conceptual and methodological tools for analyzing the quality of health care professionals’ discourse?

Marie-France Deschênes, Nicolas Fernandez, Kathleen Lechasseur, Marie-Ève Caty, Dina Azimzadeh, Tue-Chieu Mai, Patrick Lavoie

JMIR Res Protoc 2023;12:e50797

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

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

Compared to previous work studying COVID-19 discourse on the internet, our research found that users are more likely to share negative emotions and personal stories with a chatbot than on social media. People’s tendency to seek informational and emotional support on an open domain chatbot platform demonstrates the potential for chatbot-assisted public health support.

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

J Med Internet Res 2023;25:e40922

Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study

Spread of COVID-19 Vaccine Misinformation in the Ninth Inning: Retrospective Observational Infodemic Study

A subanalysis of this study also focused on whether specific online minority user populations and verified Twitter accounts were also active and engaged in this misinformation discourse. The Twitter Search Application Programming Interface (API) allows for the retrospective collection and return of a collection of relevant tweets meeting a specific search criterion (such as certain keywords, hashtags, or account handles) within a specific period.

Alec J Calac, Michael R Haupt, Zhuoran Li, Tim Mackey

JMIR Infodemiology 2022;2(1):e33587

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

In the following section, we describe our method for studying COVID-19 content across the 2 platforms by way of understanding both the type of discourse and also the potential exposure to misinformation on both Weibo and Twitter. The objective of this study is to compare COVID-19-related information and the relative prevalence of misinformation to further understand public discourse across social media and cultural contexts.

Sarah Kreps, Julie George, Noah Watson, Gloria Cai, Keyi Ding

JMIR Infodemiology 2022;2(1):e31793

Social Semiotics of Gangstalking Evidence Videos on YouTube: Multimodal Discourse Analysis of a Novel Persecutory Belief System

Social Semiotics of Gangstalking Evidence Videos on YouTube: Multimodal Discourse Analysis of a Novel Persecutory Belief System

We examine how these resources are deployed in order to construct the discourse of gangstalking, as well as how they are used to accomplish interpersonal tasks. To do this, we use a multimodal social semiotic theoretical framework to identify the semiotic resources used by TIs to construct and develop the gangstalking belief system in these evidence videos.

Andrew Lustig, Gavin Brookes, Daniel Hunt

JMIR Ment Health 2021;8(10):e30311

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Some of this discourse is happening on social media such as Twitter. During this pandemic, people have been using social media such as Twitter to share news, information, opinions, and emotions about COVID-19 [4,5], similar to previous infectious disease outbreaks such as Ebola. In the Eloba outbreak, public health organizations helped contain Ebola by monitoring conversations on social media and spreading accurate information about the disease [6-9].

Hyeju Jang, Emily Rempel, David Roth, Giuseppe Carenini, Naveed Zafar Janjua

J Med Internet Res 2021;23(2):e25431

Discourse on Exposure to Pornography Content Online Between Arab Adolescents and Parents: Qualitative Study on its Impact on Sexual Education and Behavior

Discourse on Exposure to Pornography Content Online Between Arab Adolescents and Parents: Qualitative Study on its Impact on Sexual Education and Behavior

Among Islamic religious individuals, explicit sexual discourse is not encouraged. The reason is that according to the religion and rules of the Quran, only married people are permitted to engage in sexual relations, and therefore, sexual discourse with adolescents is considered to potentially encourage premarital sex [1]. However, as Roudi-Fahimi [2] indicated in their systematic review, despite the religious prohibition, there is in fact sexual contact between young people.

Anat Gesser-Edelsburg, Munawar Abed Elhadi Arabia

J Med Internet Res 2018;20(10):e11667