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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.
JMIR Form Res 2025;9:e50536
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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].
JMIR Infodemiology 2025;5:e67119
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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.
J Med Internet Res 2025;27:e64679
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During the COVID-19 pandemic, public health organizations worldwide experienced difficulties with the “infodemic” of misinformation on social media [17]. Before the pandemic, researchers had recognized the importance of management of misinformation and studied countermeasures [18-21]. However, the COVID-19 pandemic highlighted the inexperience of public health agencies in dealing with the influence of misinformation during an emergency [22,23].
JMIR Infodemiology 2025;5:e66524
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A moderate positive correlation discovered between BM-C and BM-U supports our hypothesis, indicating that a significant number of individuals believing in COVID-19 misinformation have also adopted ideological misinformation regarding the Russian invasion of Ukraine.
JMIR Infodemiology 2025;5:e62913
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With their increased usage, LLMs are gaining user trust [3], partly due to the anthropomorphic responses produced by models such as GPT-4o, even though they can generate misinformation at scale [4,5]. Recent reports highlight the inability of differentiating truth from misinformation, and the potential collapse of health care systems, as major disruptors on the horizon [6]. This emphasizes the urgent need to develop solutions to ensure the delivery of factual information.
JMIR Form Res 2025;9:e66207
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One study analyzed Tik Tok videos from official accounts featured in the COVID-19 information hub, focusing on how credible information was disseminated to combat misinformation during the pandemic, highlighting the platform’s role in delivering accessible, authoritative public health messaging [32].
JMIR Form Res 2025;9:e67515
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Misinformation can be defined as information that is not in accordance with the leading scientific consensus [4]. Although misinformation is widespread across the web-based sphere, social media sources including Twitter, You Tube, Facebook, and Whats App have been found to be the predominant outlets of misinformation [3,5]. With most of the health information on the web assessed as being of low-quality, inaccurate, and incomplete [6,7], users are at an increased risk of being deceived by misinformation.
J Med Internet Res 2025;27:e63763
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Transformer-Based Tool for Automated Fact-Checking of Online Health Information: Development Study
With rapid progressions in the digital age, and the vast dissemination of textual information available online, the likelihood of coming across misinformation has surged [1,2]. Misinformation refers to information that is untrue, incorrect, or deceptive in nature [3]. It is prevalent across various domains, with social media being a particularly prominent source [4]. Indeed, many people seek health-related topics on modern platforms and websites available online [5].
JMIR Infodemiology 2025;5:e56831
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