Recent Articles
![A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study Article Thumbnail](https://asset.jmir.pub/assets/2561cd847d896fc30944753148e8661d.png 480w,https://asset.jmir.pub/assets/2561cd847d896fc30944753148e8661d.png 960w,https://asset.jmir.pub/assets/2561cd847d896fc30944753148e8661d.png 1920w,https://asset.jmir.pub/assets/2561cd847d896fc30944753148e8661d.png 2500w)
![Identifying Misinformation About Unproven Cancer Treatments on Social Media Using User-Friendly Linguistic Characteristics: Content Analysis Article Thumbnail](https://asset.jmir.pub/assets/390557659c6fa8be301682fed64ccdf6.png 480w,https://asset.jmir.pub/assets/390557659c6fa8be301682fed64ccdf6.png 960w,https://asset.jmir.pub/assets/390557659c6fa8be301682fed64ccdf6.png 1920w,https://asset.jmir.pub/assets/390557659c6fa8be301682fed64ccdf6.png 2500w)
Health misinformation, prevalent in social media, poses a significant threat to individuals, particularly those dealing with serious illnesses such as cancer. The current recommendations for users on how to avoid cancer misinformation are challenging because they require users to have research skills.
![Visualizing YouTube Commenters’ Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making Article Thumbnail](https://asset.jmir.pub/assets/98a17224ac25e5a56c44c60ac5744764.png 480w,https://asset.jmir.pub/assets/98a17224ac25e5a56c44c60ac5744764.png 960w,https://asset.jmir.pub/assets/98a17224ac25e5a56c44c60ac5744764.png 1920w,https://asset.jmir.pub/assets/98a17224ac25e5a56c44c60ac5744764.png 2500w)
![Unveiling Topics and Emotions in Arabic Tweets Surrounding the COVID-19 Pandemic: Topic Modeling and Sentiment Analysis Approach Article Thumbnail](https://asset.jmir.pub/assets/596753971b4a25e55fc6ed2b54cdd497.png 480w,https://asset.jmir.pub/assets/596753971b4a25e55fc6ed2b54cdd497.png 960w,https://asset.jmir.pub/assets/596753971b4a25e55fc6ed2b54cdd497.png 1920w,https://asset.jmir.pub/assets/596753971b4a25e55fc6ed2b54cdd497.png 2500w)
The worldwide effects of the COVID-19 pandemic have been profound, and the Arab world has not been exempt from its wide-ranging consequences. Within this context, social media platforms such as Twitter have become essential for sharing information and expressing public opinions during this global crisis. Careful investigation of Arabic tweets related to COVID-19 can provide invaluable insights into the common topics and underlying sentiments that shape discussions about the COVID-19 pandemic.
![Assessment of Reliability and Validity of Celiac Disease–Related YouTube Videos: Content Analysis Article Thumbnail](https://asset.jmir.pub/assets/c3f9c728751ee92ab2c28c61e76a4870.png 480w,https://asset.jmir.pub/assets/c3f9c728751ee92ab2c28c61e76a4870.png 960w,https://asset.jmir.pub/assets/c3f9c728751ee92ab2c28c61e76a4870.png 1920w,https://asset.jmir.pub/assets/c3f9c728751ee92ab2c28c61e76a4870.png 2500w)
![Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study Article Thumbnail](https://asset.jmir.pub/assets/2406d6fb53ce0df8d7e096c185781137.png 480w,https://asset.jmir.pub/assets/2406d6fb53ce0df8d7e096c185781137.png 960w,https://asset.jmir.pub/assets/2406d6fb53ce0df8d7e096c185781137.png 1920w,https://asset.jmir.pub/assets/2406d6fb53ce0df8d7e096c185781137.png 2500w)
The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises. However, previous studies on the early warning capabilities of geosocial media data have largely been constrained by coarse spatial resolutions or short temporal scopes, with limited understanding of how local political beliefs may influence these capabilities.
![How Patients With Cancer Use the Internet to Search for Health Information: Scenario-Based Think-Aloud Study Article Thumbnail](https://asset.jmir.pub/assets/35d1abdcae94de37780ae811dba93931.png 480w,https://asset.jmir.pub/assets/35d1abdcae94de37780ae811dba93931.png 960w,https://asset.jmir.pub/assets/35d1abdcae94de37780ae811dba93931.png 1920w,https://asset.jmir.pub/assets/35d1abdcae94de37780ae811dba93931.png 2500w)
Patients with cancer increasingly use the internet to seek health information. However, thus far, research treats web-based health information seeking (WHIS) behavior in a rather dichotomous manner (ie, approaching or avoiding) and fails to capture the dynamic nature and evolving motivations that patients experience when engaging in WHIS throughout their disease trajectory. Insights can be used to support effective patient-provider communication about WHIS and can lead to better designed web-based health platforms.
![Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis Article Thumbnail](https://asset.jmir.pub/assets/d291038c8e1c471e655a36a2b9d516b4.png 480w,https://asset.jmir.pub/assets/d291038c8e1c471e655a36a2b9d516b4.png 960w,https://asset.jmir.pub/assets/d291038c8e1c471e655a36a2b9d516b4.png 1920w,https://asset.jmir.pub/assets/d291038c8e1c471e655a36a2b9d516b4.png 2500w)
During the COVID-19 pandemic, social media platforms have been a venue for the exchange of messages, including those related to fake news. There are also accounts programmed to disseminate and amplify specific messages, which can affect individual decision-making and present new challenges for public health.
![Understanding and Combating Misinformation: An Evolutionary Perspective Article Thumbnail](https://asset.jmir.pub/assets/b7e24e713208d7bf6cd294c28d8243c4.png 480w,https://asset.jmir.pub/assets/b7e24e713208d7bf6cd294c28d8243c4.png 960w,https://asset.jmir.pub/assets/b7e24e713208d7bf6cd294c28d8243c4.png 1920w,https://asset.jmir.pub/assets/b7e24e713208d7bf6cd294c28d8243c4.png 2500w)
Misinformation represents an evolutionary paradox: despite its harmful impact on society, it persists and evolves, thriving in the information-rich environment of the digital age. This paradox challenges the conventional expectation that detrimental entities should diminish over time. The persistence of misinformation, despite advancements in fact-checking and verification tools, suggests that it possesses adaptive qualities that enable it to survive and propagate. This paper explores how misinformation, as a blend of truth and fiction, continues to resonate with audiences. The role of narratives in human history, particularly in the evolution of Homo narrans, underscores the enduring influence of storytelling on cultural and social cohesion. Despite the increasing ability of individuals to verify the accuracy of sources, misinformation remains a significant challenge, often spreading rapidly through digital platforms. Current behavioral research tends to treat misinformation as completely irrational, static, finite entities that can be definitively debunked, overlooking their dynamic and evolving nature. This approach limits our understanding of the behavioral and societal factors driving the transformation of misinformation over time. The persistence of misinformation can be attributed to several factors, including its role in fostering social cohesion, its perceived short-term benefits, and its use in strategic deception. Techniques such as extrapolation, intrapolation, deformation, cherry-picking, and fabrication contribute to the production and spread of misinformation. Understanding these processes and the evolutionary advantages they confer is crucial for developing effective strategies to counter misinformation. By promoting transparency, critical thinking, and accurate information, society can begin to address the root causes of misinformation and create a more resilient information environment.
![Navigating Awareness and Strategies to Support Dementia Advocacy on Social Media During World Alzheimer’s Month: Infodemiology Study Article Thumbnail](https://asset.jmir.pub/assets/3a66493e40a31b0a6b266c6537dfee0a.png 480w,https://asset.jmir.pub/assets/3a66493e40a31b0a6b266c6537dfee0a.png 960w,https://asset.jmir.pub/assets/3a66493e40a31b0a6b266c6537dfee0a.png 1920w,https://asset.jmir.pub/assets/3a66493e40a31b0a6b266c6537dfee0a.png 2500w)
Understanding advocacy strategies is essential to improving dementia awareness, reducing stigma, supporting cognitive health promotion, and influencing policy to support people living with dementia. However, there is a dearth of evidence-based research on advocacy strategies used to support dementia awareness.
![Application of a Language Model Tool for COVID-19 Vaccine Adverse Event Monitoring Using Web and Social Media Content: Algorithm Development and Validation Study Article Thumbnail](https://asset.jmir.pub/assets/cddf6a772019717d16911a30369aea35.png 480w,https://asset.jmir.pub/assets/cddf6a772019717d16911a30369aea35.png 960w,https://asset.jmir.pub/assets/cddf6a772019717d16911a30369aea35.png 1920w,https://asset.jmir.pub/assets/cddf6a772019717d16911a30369aea35.png 2500w)
Spontaneous pharmacovigilance reporting systems are the main data source for signal detection for vaccines. However, there is a large time lag between the occurrence of an adverse event (AE) and the availability for analysis. With global mass COVID-19 vaccination campaigns, social media, and web content, there is an opportunity for real-time, faster monitoring of AEs potentially related to COVID-19 vaccine use. Our work aims to detect AEs from social media to augment those from spontaneous reporting systems.
![Changes in Reproductive Health Information-Seeking Behaviors After the Dobbs Decision: Systematic Search of the Wikimedia Database Article Thumbnail](https://asset.jmir.pub/assets/e06b6ef90c2562bf0feee74e4435010b.png 480w,https://asset.jmir.pub/assets/e06b6ef90c2562bf0feee74e4435010b.png 960w,https://asset.jmir.pub/assets/e06b6ef90c2562bf0feee74e4435010b.png 1920w,https://asset.jmir.pub/assets/e06b6ef90c2562bf0feee74e4435010b.png 2500w)
After the US Supreme Court overturned Roe v. Wade, confusion followed regarding the legality of abortion in different states across the country. Recent studies found increased Google searches for abortion-related terms in restricted states after the Dobbs v. Jackson Women’s Health Organization decision was leaked. As patients and providers use Wikipedia (Wikimedia Foundation) as a predominant medical information source, we hypothesized that changes in reproductive health information-seeking behavior could be better understood by examining Wikipedia article traffic.