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COVID-19 / Coronavirus Outbreak: How to Perform Complete Prone Positioning in COVID-Patients
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Shared Values, Shared Responsibility, and Overwhelmingly Positive: Investigating a Targeted COVID-19 Public Health

Foluke Omosun1, Anna Young2

  • 1Department of Communication and Media, Sacred Heart University, Fairfield, Connecticut, United States.

Journal of Health Communication
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

Generative artificial intelligence (AI) can help create targeted COVID-19 vaccine messages. This approach, focusing on shared values and responsibilities, may counter health misinformation and improve public health compliance.

Keywords:
Artificial intelligenceCOVID-19 misinformationhealth message designsentiment analysisthematic analysis

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Area of Science:

  • Public Health Communication
  • Health Behavior
  • Artificial Intelligence in Healthcare

Background:

  • Misinformation during the COVID-19 pandemic led to noncompliance and negative health outcomes.
  • Effective health communication is vital during emergencies but challenging for public health professionals.
  • Vulnerable populations are particularly susceptible to health misinformation.

Purpose of the Study:

  • To explore the use of generative artificial intelligence (AI) in creating targeted COVID-19 booster vaccine messages.
  • To assess the effectiveness of AI-generated messages for diverse demographic groups.
  • To identify messaging strategies that can counter misinformation and encourage vaccine adherence.

Main Methods:

  • Utilized ChatGPT 3.5 to design targeted COVID-19 booster vaccine messages.
  • Analyzed messages for various demographic groups, including political leaning, religion, and conspiracy theorists.
  • Employed sentiment and inductive thematic analyses to evaluate message variations.

Main Results:

  • Targeted messaging varied across demographic groups, with a focus on positive framing.
  • Messages emphasized individual and community responsibility in adhering to public health guidelines.
  • Positive framing and appeals to shared values showed potential in shaping attitudes.

Conclusions:

  • Generative AI can assist health communicators in developing audience-centered messages.
  • Positive framing and appeals to values may be effective in combating misinformation.
  • Targeted messaging strategies are crucial for improving public health compliance in emergencies.