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Modularity of Online Social Networks and COVID-19 Misinformation Spreading in Russia: Combining Social Network Analysis and National Representative Survey

Modularity of Online Social Networks and COVID-19 Misinformation Spreading in Russia: Combining Social Network Analysis and National Representative Survey

It was shown that town-level fragmentation of these networks is associated with the spread of misinformation about COVID-19 and the share of fake statements encountered by respondents. The results remain robust after controlling for individual characteristics, including the use of online and traditional media, fear of COVID-19, and household experience with the disease. This study contributes to the growing literature on the spread of health misinformation on social media [23].

Boris Pavlenko

JMIR Infodemiology 2025;5:e58302

Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals: Observational Study of TikTok Videos

Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals: Observational Study of TikTok Videos

Disinformation differs from misinformation and is defined as false information accidentally disseminated, without malicious intent [4]. This is different from misinformation that implies a deceptive aim. These falsehoods can take various forms, such as promoting untested remedies or treatments, voicing inaccurate health claims, and propagating conspiracy theories about illnesses, climate change, and vaccines [6].

Alexandre Hudon, Keith Perry, Anne-Sophie Plate, Alexis Doucet, Laurence Ducharme, Orielle Djona, Constanza Testart Aguirre, Gabrielle Evoy

J Med Internet Res 2025;27:e64225

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study

Although studies have been emerging since the beginning of the COVID-19 pandemic that have addressed misinformation sources, channels, and messages [28-31], in general, less attention has been paid to the exhaustive characterization of the profiles of people who embrace misinformation and particularly understanding which messages have penetrated the audiences.

Javier Alvarez-Galvez, Carolina Lagares-Franco, Esther Ortega-Martin, Helena De Sola, Antonio Rojas-García, Paloma Sanz-Marcos, José Almenara-Barrios, Angelos P Kassianos, Ilaria Montagni, María Camacho-García, Maribel Serrano-Macías, Jesús Carretero-Bravo

JMIR Infodemiology 2025;5:e69945

The Most Popular Videos Promoting Breast Enhancement Products on TikTok: Cross-Sectional Content and User Engagement Analysis

The Most Popular Videos Promoting Breast Enhancement Products on TikTok: Cross-Sectional Content and User Engagement Analysis

The risks of misinformation are amplified by three key factors: the dominance of marketing-oriented narratives (56/85, 65.9%), the paucity of balanced dialogues addressing product safety versus potential harm, and the lack of ingredient transparency. Based on our content analysis, most videos did not explicitly disclose specific ingredients in the breast enhancement products they promoted.

Jing Lin, Wanlin Li, Lian Zhu, Ning Li, Shi Chang

J Med Internet Res 2025;27:e73336

Stigma of Dementia on Social Media During World Alzheimer’s Awareness Month: Thematic Analysis of Posts

Stigma of Dementia on Social Media During World Alzheimer’s Awareness Month: Thematic Analysis of Posts

Another study examined dementia-related stigma on social media during the COVID-19 pandemic and identified issues of misinformation, ageism, and dementia being used as an insult for political ridicule [6]. However, no existing studies have examined the impact of global awareness campaigns on dementia-related stigma. This study examines dementia-related stigma on X during World Alzheimer’s Month, a global advocacy campaign organized by Alzheimer’s Disease International [18].

Juanita-Dawne Bacsu, Jasmine Cassy Mah, Ali Akbar Jamali, Christine Conanan, Samantha Lautrup, Corinne Berger, Dylan Fiske, Sarah Fraser, Anila Virani, Florriann Fehr, Alison L Chasteen, Zahra Rahemi, Shirin Vellani, Melissa K Andrew, Allison Cammer, Katherine S McGilton, Rory Gowda-Sookochoff, Kate Nanson, Karl S Grewal, Raymond J Spiteri

JMIR Form Res 2025;9:e72775

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