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JMIR Infodemiology
Scopus
ISSN 2564-1891 · JMIR Publications · 175 artikel di indeks
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Artikel Jurnal
Nonnegotiable Symbolic Value and Sugar-Driven Food Habits in Indonesia: Mixed Methods Study Using a Digital Sociological Approach
Abstract BackgroundThe sugar market in Indonesia reflects the distinct consumer behavior shaped by economic and deeply rooted cultural factors. This study explores how symbolic values attached to sugar sustain persistent, often irrational or uncontrollable consumption, highlighting the need for a…
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Artikel Jurnal
The Impact of Social Media Videos on Quantitative Health Outcomes: Systematic Review
Abstract BackgroundSocial media has transformed the landscape of health communication. Video content can optimally activate our cognitive systems, enhance learning, and deliver accessible information. Evidence has suggested the positive impact of videos on health knowledge and health-related…
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Artikel Jurnal
Shifting Public Discourse on Life-Sustaining Treatment in South Korea From 2014 to 2025: Longitudinal Social Media Analysis
Abstract BackgroundPublic discourse plays an important role in shaping how end-of-life care and medical decision-making are understood within society. In South Korea, the implementation of the Life-Sustaining Treatment Decision Act in 2018 established a legal framework for withholding or…
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Artikel Jurnal
Japanese-Language AI Agent System for Human Papillomavirus Vaccine Infoveillance and Public Communication: Development and Feasibility Evaluation
Abstract BackgroundHuman papillomavirus (HPV) vaccine hesitancy remains a significant public health challenge in Japan, where proactive vaccination recommendations were suspended between 2013 and 2021. The resulting information gap between medical institutions and vaccine-hesitant populations is…
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Artikel Jurnal
Misinformation Through the Lens of Dutch News Media and Public Health Authorities: Content Analysis of Topics and Narratives Present in Pandemic-Related Misinformation During COVID-19
Abstract BackgroundOne of the multiple challenges associated with misinformation is its risk of hindering public health efforts during a health crisis. Misinformation can cover a diversity of thematic topics and is usually spread using a series of nontopic-specific recurring narrative structures…
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Artikel Jurnal
Social Media Reactions to Sex Toy Criminalization in Ghana: Cross-Sectional Sentiment and Text Network Analysis
Abstract BackgroundSexuality discourse in Ghana has become more divided, especially around gender and lesbian, gay, bisexual, transgender, and queer rights, leading to new antigay laws criminalizing lesbian, gay, bisexual, transgender, and queer activities, and other forms of sexual practices. One…
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Artikel Jurnal
How Social Media Analysis Offers an Opportunity to Understand the Reality of People Living With Multiple Sclerosis: Descriptive French Study
Abstract BackgroundMultiple sclerosis (MS) is a chronic neurological disease that starts in young adulthood and can significantly affect quality of life (QoL) due to various symptoms, and the risk of disability. MS directly affects people living with the disease and indirectly affects their…
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Artikel Jurnal
Multilayered Epistemic Disruption in AI-Driven Health Misinformation: Conceptual Framework and Viewpoint
AbstractGenerative AI has transformed the health information ecosystem by enabling scalable, sophisticated health misinformation production at near-zero marginal cost. Current literature addresses AI’s role in health misinformation predominantly through a binary threat detection framework…
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Artikel Jurnal
Temporal Dynamics of Influenza-Associated Anxiety Symptom Linguistic Markers on Weibo (2023-2024): Observational Study
Abstract BackgroundInfluenza seasons may be associated with increased anxiety-related expressions on social media. Social media can reflect population-level emotional expression patterns in real time. ObjectiveThe aim of the study is to characterize diurnal and full-season dynamics of…
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Artikel Jurnal
Investigating Online Discussions About Cancer Screening on Twitter (Subsequently Rebranded as X): Corpus Analysis
Abstract BackgroundWhile cancer screening is proven to be effective in the early detection of the disease and early detection enables better treatment options, screening uptake has been declining. Research shows that online health information helps people to make health-related decisions. However…
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Artikel Jurnal
Investigation of Differences in Tobacco Use Language Between Groups: Corpus-Assisted Analysis
Abstract BackgroundThe variation of language concerning tobacco products and tobacco use is known to impact the understanding of related risks and influence behaviors including use uptake and product cessation. Transnational tobacco companies can use such complexities to change the acceptability of…
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Artikel Jurnal
Tetanus Health Information on YouTube and TikTok: Cross-Sectional Analysis of Quality, Reliability, and Public Health Implications
Abstract BackgroundTetanus is a severe but vaccine-preventable neurological disease that remains a public health concern, especially in resource-limited settings. As social media becomes an important source of health information, concerns persist regarding the quality and reliability of…
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Artikel Jurnal
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing–Assisted Qualitative Study
AbstractThis study, using natural language processing and manual thematic analysis of Reddit posts, revealed a rapid rise in discussions about tianeptine, with posts frequently reporting dependence, withdrawal, and coingestion with other unregulated substances, highlighting tianeptine as an…
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Artikel Jurnal
Mpox on Instagram: Content Analytic Study
Abstract BackgroundMpox was declared a public health emergency of international concern in 2022. Instagram is widely used by age groups and communities disproportionately affected by mpox; yet platform-specific evidence on mpox information characteristics and engagement remains limited…
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Impact of Repeated Exposure to Polarized Health-Related News on Explicit and Implicit Attitudes Toward Dietary Supplements: Online Experimental Study
Abstract BackgroundRepetition is a central feature of digital news consumption, where engagement-driven algorithms often expose users to similar health-related content. Prior research suggests that repeated exposure can influence perceived truth and evaluation, but most studies use brief or…
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Artikel Jurnal
Exploring the Discourse Around Zyn Nicotine Pouches on Instagram and TikTok: Content Analysis
Abstract BackgroundOral nicotine pouches, such as Zyn, have rapidly grown in popularity in the United States, with sales increasing from 83.2 million cans in 2020 to 385 million cans in 2023. This growth has occurred alongside concerns about youth use. At the same time, Zyn’s visibility on social…
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Artikel Jurnal
Portrayals of Depression on TikTok: Content Analysis of Diagnostic Accuracy, Creator Type, and Stylistic Features
Abstract BackgroundYouths are increasingly turning to TikTok for mental health information, making the platform an important space where young people encounter portrayals of mental illness. While such visibility can raise awareness, reduce stigma, and make young people feel more connected and…
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Artikel Jurnal
The Information Void in Asymptomatic Chronic Disease: A Digital Health Framework for Understanding Social Media Health Information Seeking in Young Adults
AbstractNearly 1 in 4 young adults has a chronic condition, yet many feel well despite their diagnosis. Asymptomatic conditions such as prediabetes and hypertension create a unique vulnerability to digital health misinformation, particularly on platforms where inaccurate content is prevalent…
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Artikel Jurnal
Audience-Specific Health Communication: Mixed Methods Evaluation of the Maria Ciência AI-Assisted Knowledge Translation Tool
Abstract BackgroundScientific misinformation remains a major barrier to effective health communication. Bridging the gap between academic research and public understanding requires tools that simplify scientific language and adapt content to diverse audiences. ObjectiveThis study presents Maria…
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Artikel Jurnal
Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis
Abstract BackgroundThe COVID-19 pandemic has highlighted the challenges posed by the rapid spread of misinformation and disinformation, exacerbating societal polarization and institutional distrust. Understanding how misinformation and disinformation is understood and framed in public discourse is…