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Online Interventions Addressing Health Misinformation: Scoping Review
Reference 12: A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation Reference 29: Tools that fight disinformation online(https://www.rand.org/research/projects/truth-decay /fighting-disinformation/search.html)disinformation
J Med Internet Res 2025;27:e69618
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Interventions to Counter Health Misinformation Among Older People: Protocol for a Scoping Review
Misinformation and disinformation in health are significant issues because they undermine trust in public health authorities, scientists, and governments [1-4]. Health misinformation encompasses information that deviates from the established scientific consensus about a phenomenon [5]. Conversely, disinformation involves the intentional spread of inaccurate information with the aim of misleading or causing harm, while misinformation, although still incorrect, is shared without malicious intent [6].
JMIR Res Protoc 2025;14:e74138
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A study analyzing the top 100 ADHD-related videos on Tik Tok found that less than half adhered to clinical guidelines, raising concerns about disinformation leading to self-diagnosis among teenagers [21]. The motivations behind disseminating mental health disinformation on social media are multifaceted. A bibliometric analysis identified various intervention strategies to address disinformation sharing, emphasizing the need for proactive measures to decrease the spread of inaccurate information [22].
J Med Internet Res 2025;27:e64225
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While access to information is essential, the unprecedented volumes of data surrounding SARS-Co V-2 and COVID-19 has made it increasingly difficult for individuals and institutions to discern scientific evidence from misinformation or disinformation and anecdotal claims [5].
JMIR Infodemiology 2025;5:e69945
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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].
J Med Internet Res 2025;27:e66098
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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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Accordingly, findings can be used in misinformation, disinformation, and malinformation, as defined in Table 1.
Council of Europe definitions [14].
Unlike misinformation and disinformation, malinformation does not depend on false information, but instead leverages plausible and accurate—or at least arguably accurate—information presented either without context or in an incorrect context to lead those encountering it to false or misleading impressions and conclusions.
J Med Internet Res 2025;27:e64679
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Some of the hashtags have to do with conspiracy theories (#conspiracytheory, #disinformation, and #propaganda), media (#qanonnfoxnews, #propaganda, and #fakenews), and others in a derogatory tone (#covidiot, #plandemic, and #plandemicdocumentary). On the other hand, in the second and fifth communities, the numbers of bots are higher.
JMIR Infodemiology 2025;5:e50021
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Understanding and Combating Misinformation: An Evolutionary Perspective
Disinformation is false information deliberately created with the intent to deceive or cause harm. This is the most insidious type, as it is crafted with malicious purposes, such as manipulating public opinion or discrediting individuals or groups.
These categories help differentiate the various ways in which information can be manipulated or fabricated. Recognizing these distinctions is crucial for developing tailored strategies to counter each type effectively.
JMIR Infodemiology 2024;4:e65521
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