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The Quality of Dermatology Match Information on Social Media Platforms: Cross-Sectional Analysis

The Quality of Dermatology Match Information on Social Media Platforms: Cross-Sectional Analysis

Program director surveys could help clarify common misconceptions, and efforts to correct misinformation through trusted sources may improve the accuracy of information available to applicants. Applicants seeking reliable guidance should turn to established mentorship programs, such as the National Mentorship Match through the Dermatology Interest Group Association, and official recommendations from the APD.

Anjali D'Amiano, Jack Kollings, Joel Sunshine

JMIR Dermatol 2025;8:e65217

Social Media and the Evolution of Vaccine Preferences During the COVID-19 Pandemic: Discrete Choice Experiment

Social Media and the Evolution of Vaccine Preferences During the COVID-19 Pandemic: Discrete Choice Experiment

Indeed, prior work suggests antivaccine sentiment generates more engagement than provaccine sentiment [20] and that exposure to misinformation can decrease intent to vaccinate [12,21,22]. However, there are still relatively few papers that use panel data to investigate the relationship between social media use and vaccine preferences, and our understanding of this relationship is still limited.

Robbie Maris, Zack Dorner, Stephane Hess, Steven Tucker

JMIR Infodemiology 2025;5:e66081

Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models

Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models

However, the surge in these informational needs overlapped with the rapid spread of misinformation and false news through social media platforms, leading to widespread public confusion. The WHO used the term “infodemic” to describe the spread of misinformation during the pandemic [1]. They emphasized the potential threat that such misinformation posed to national epidemic prevention policies.

Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

J Med Internet Res 2025;27:e73601

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

In the HPV antivaccine network, the main traits of social media misinformation messages included mentioning #Gardasil, claiming to reveal a lie, conspiracy theories, and risk of vaccine injury [22]. Previous research has documented the amount of misinformation about the HPV vaccine on social media, the most prevalent misinformation, and it has documented the ways that vaccine misinformation impacts vaccination attitudes and behavior.

Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides

J Med Internet Res 2025;27:e54657

Infodemic Versus Viral Information Spread: Key Differences and Open Challenges

Infodemic Versus Viral Information Spread: Key Differences and Open Challenges

It started from being an “epidemic of information,” as defined by Rothkopf in 2003 [1] in the context of the severe acute respiratory syndrome (SARS) outbreak, to then include the element of misinformation [2-4], especially when the concept gained momentum during the COVID-19 pandemic.

Matteo Cinelli, Francesco Gesualdo

JMIR Infodemiology 2025;5:e57455

Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study

The COVID-19 pandemic has been accompanied by an “infodemic,” characterized by the rapid spread of misinformation and disinformation, significantly undermining public health efforts [1]. Misinformation refers to the unintentional spread of incorrect or misleading information [2], while disinformation involves deliberately disseminating false information to deceive [3].

Hai Li, Jingyi Huang, Mengmeng Ji, Yuyi Yang, Ruopeng An

J Med Internet Res 2025;27:e66098

Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study

Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study

Addressing these barriers in resource-limited countries requires targeted strategies such as improving health literacy, offering culturally sensitive health care education, increasing access to technology, and combating misinformation [21]. Among these targeted strategies, social media has gained the most attention in the high-income world [20]. Health care education through social media has become an increasingly effective method for reaching diverse audiences with health information.

Malik Mamoon Munir, Nabil Ahmed

JMIR Hum Factors 2025;12:e65745

Exploring Public Sentiment on the Repurposing of Ivermectin for COVID-19 Treatment: Cross-Sectional Study Using Twitter Data

Exploring Public Sentiment on the Repurposing of Ivermectin for COVID-19 Treatment: Cross-Sectional Study Using Twitter Data

This sentiment analysis focuses on Twitter discussions about ivermectin, showing public opinion that, while not devoid of misinformation risks, these discussions offer an alternative lens to understand the societal pulse on this contentious topic [6]. By examining the sentiments expressed on Twitter, we aim to add nuance to the ongoing discourse, acknowledging the platform's influence on public perception and its implications for health communication strategies.

Angga Prawira Kautsar, Rano Kurnia Sinuraya, Jurjen van der Schans, Maarten Jacobus Postma, Auliya A Suwantika

JMIR Form Res 2025;9:e50536

Understanding Interventions to Address Infodemics Through Epidemiological, Socioecological, and Environmental Health Models: Framework Analysis

Understanding Interventions to Address Infodemics Through Epidemiological, Socioecological, and Environmental Health Models: Framework Analysis

As of April 2022, 24% of COVID-19 mortality, or 234,000 deaths, was vaccine-preventable [2], and misinformation and disinformation cost the United States between US $50,000,000 and US $300,000,000 each day during the pandemic in health care spending and economic losses [3]. These impacts demonstrated the necessity of addressing misinformation as part of public health responses [4].

Jennifer N John, Sara Gorman, David Scales

JMIR Infodemiology 2025;5:e67119

Quantifying Public Engagement With Science and Malinformation on COVID-19 Vaccines: Cross-Sectional Study

Quantifying Public Engagement With Science and Malinformation on COVID-19 Vaccines: Cross-Sectional Study

The growing dominance of social media as a news source has resulted in not only widespread engagement with science but also a perpetuation of medical misinformation in fields ranging from dementia [1] to cardiology [2] and cancer [3,4] and beyond.

David Robert Grimes, David H Gorski

J Med Internet Res 2025;27:e64679