What does this research mean for the field?

AI-generated misinformation represents a novel epidemiological risk factor that threatens population immunity by accelerating vaccine avoidance, requiring new public health responses centered on digital literacy and trust-building. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

To evaluate generative artificial intelligence-driven misinformation as an epidemiological risk factor threatening vaccine confidence, herd immunity, and pandemic preparedness.

August 30, 2026Journal of Preventive Medicine and Public HealthOpen Access

When Deepfakes Meet Herd Immunity: Artificial Intelligence, Vaccine Avoidance, and the Next Infodemic Threat

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Authors

MJMinsoo Jung

Discussion

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Overview

Perspective reveals how generative artificial intelligence accelerates vaccine avoidance across populations, highlighting an emerging epidemiological threat to herd immunity.

Key Points

To evaluate generative artificial intelligence-driven misinformation as an epidemiological risk factor threatening vaccine confidence, herd immunity, and pandemic preparedness.
Synthesized findings across historical vaccine controversies, health communication research, and epidemiological models of herd immunity.
Analyzed the capabilities of synthetic text generators, chatbots, audio clones, and deepfake video technologies to rapidly produce personalized anti-vaccine content.
Demonstrated that AI-generated misinformation functions as a scalable epidemiological hazard capable of depressing vaccination rates below the herd immunity threshold.
Outlined strategic public health responses prioritizing digital health literacy, real-time information surveillance, trust restoration, and community engagement.

Cite This Study

Minsoo Jung (2026) studied this question.

synapsesocial.com/papers/6a93f0b06c1a8fb52e79d109 https://doi.org/10.3961/jpmph.26.549

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August 30, 2026Journal of Preventive Medicine and Public HealthOpen Access

When Deepfakes Meet Herd Immunity: Artificial Intelligence, Vaccine Avoidance, and the Next Infodemic Threat

View Full Paper

Ask AI

Bookmark

Authors

MJMinsoo Jung

Discussion

Member takes

Overview

Perspective reveals how generative artificial intelligence accelerates vaccine avoidance across populations, highlighting an emerging epidemiological threat to herd immunity.

Key Points

To evaluate generative artificial intelligence-driven misinformation as an epidemiological risk factor threatening vaccine confidence, herd immunity, and pandemic preparedness.
Synthesized findings across historical vaccine controversies, health communication research, and epidemiological models of herd immunity.
Analyzed the capabilities of synthetic text generators, chatbots, audio clones, and deepfake video technologies to rapidly produce personalized anti-vaccine content.
Demonstrated that AI-generated misinformation functions as a scalable epidemiological hazard capable of depressing vaccination rates below the herd immunity threshold.
Outlined strategic public health responses prioritizing digital health literacy, real-time information surveillance, trust restoration, and community engagement.

Cite This Study

Minsoo Jung (2026) studied this question.

synapsesocial.com/papers/6a93f0b06c1a8fb52e79d109 https://doi.org/10.3961/jpmph.26.549

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