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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

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.

David Robert Grimes, David H Gorski

J Med Internet Res 2025;27:e64679

Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis

Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis

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.

Victor Suarez-Lledo, Esther Ortega-Martin, Jesus Carretero-Bravo, Begoña Ramos-Fiol, Javier Alvarez-Galvez

JMIR Infodemiology 2025;5:e50021

Understanding and Combating Misinformation: An Evolutionary Perspective

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.

Nicola Luigi Bragazzi, Sergio Garbarino

JMIR Infodemiology 2024;4:e65521

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

In the case of social media, there is misinformation (incorrect information) and disinformation (deliberately inaccurate information) on the care of patients that could be magnified, particularly under stressed circumstances, such as a devastating pandemic. X/Twitter responded to this concern by flagging potentially concerning information and removing 11,230 accounts because of misinformation [44].

Scott A Helgeson, Rohan M Mudgalkar, Keith A Jacobs, Augustine S Lee, Devang Sanghavi, Pablo Moreno Franco, Ian S Brooks, National COVID Cohort Collaborative (N3C)

JMIR Infodemiology 2024;4:e56675

Misinformation About Climate Change and Related Environmental Events on Social Media: Protocol for a Scoping Review

Misinformation About Climate Change and Related Environmental Events on Social Media: Protocol for a Scoping Review

However, despite the urgency we face, governmental actions are hindered by, among other factors, disinformation and misinformation [3]. Indeed, disinformation and misinformation create confusion within the population, foster skepticism toward scientific knowledge [4,5] and undermine public support for climate change mitigation policies [6]. Communications regarding climate change are known to be prone to misinformation and disinformation [7].

Maryline Vivion, Valérie Trottier, Ève Bouhêlier, Isabelle Goupil-Sormany, Thierno Diallo

JMIR Res Protoc 2024;13:e59345

Infodemics and Vaccine Confidence: Protocol for Social Listening and Insight Generation to Inform Action

Infodemics and Vaccine Confidence: Protocol for Social Listening and Insight Generation to Inform Action

Information voids (ie, lack of accurate information on a specific topic from credible sources), misinformation (ie, inaccurate information), and disinformation (ie, inaccurate information designed to achieve an agenda) have been hallmarks of the COVID-19 infodemic [2-4].

Jessica Kolis, Kathryn Brookmeyer, Yulia Chuvileva, Christopher Voegeli, Sarina Juma, Atsuyoshi Ishizumi, Katy Renfro, Elisabeth Wilhelm, Hannah Tice, Hannah Fogarty, Irma Kocer, Jordan Helms, Anisha Verma

JMIR Public Health Surveill 2024;10:e51909

The Dual Nature of AI in Information Dissemination: Ethical Considerations

The Dual Nature of AI in Information Dissemination: Ethical Considerations

There are valid concerns that artificial intelligence (AI) systems could be used to produce compelling disinformation en masse [6-9]. In fact, AI tools could be used to either accelerate disinformation spreading, or produce the (disinformation) content, or both. The consequences can range from undermining trust in institutions, including public health institutions [10,11], and exacerbating social polarization to directly impacting public health outcomes and democratic processes [12,13].

Federico Germani, Giovanni Spitale, Nikola Biller-Andorno

JMIR AI 2024;3:e53505