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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jun 26, 2025
Open Peer Review Period: Jun 26, 2025 - Aug 21, 2025
Date Accepted: Dec 22, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Examining Artificial Intelligence Chatbots’ Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis

Laily A, Schwab-Reese L, Davish M, Cahue E, LaRoche K, Rodriguez N, Duncan R, Hubach R, Kasting M

Examining Artificial Intelligence Chatbots’ Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis

JMIR Public Health Surveill 2026;12:e79720

DOI: 10.2196/79720

PMID: 41707197

PMCID: 12961391

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Examining Artificial Intelligence Chatbots’ Responses in Providing Human Papillomavirus Vaccine Information for Young Adults

  • Alfu Laily; 
  • Laura Schwab-Reese; 
  • Megan Davish; 
  • Emily Cahue; 
  • Kathryn LaRoche; 
  • Natalia Rodriguez; 
  • Robert Duncan; 
  • Randolph Hubach; 
  • Monica Kasting

ABSTRACT

Background:

Background:

The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally developed for delivering medical guidance. The quality of chatbots’ responses relies heavily on their training data and is often compromised in medical contexts due to their lack of specific training data in medical literature.

Objective:

Objectives: This study examined AI chatbots responses to human papillomavirus (HPV)-related questions by analyzing structure and patterns, linguistic features, information accuracy and currency.

Methods:

Methods:

We conducted a qualitative content analysis to examine four selected AI chatbots (ChatGPT-4, Claude 3.7-Sonnet, DeepSeek-V3, and Docus [General AI Doctor]) in answering HPV vaccine questions adapted from Vaccine Conspiracy Beliefs Scale (VCBS) items and Google Trends query.

Results:

Results:

All AI chatbots cited evidence-based sources from reputable health organizations. We found no fabricated information or inaccuracies in numerical data. For complex questions, all AI chatbots appropriately deferred to healthcare professionals’ suggestions. All chatbots maintained a neutral or pro-vaccine stance, corresponding with the scientific consensus. The mean response lengths varied (word count; ChatGPT: 436.4, Claude: 188.0, DeepSeek: 510.0, Docus: 159.4), as did readability (Flesch-Kincaid Grade-Level; ChatGPT: 10.7, Claude: 13.2, DeepSeek:11.3, Docus:12.2). ChatGPT and Claude offered personalized responses, while DeepSeek and Docus lacked this. Occasionally, some responses included broken or irrelevant links and medical jargon.

Conclusions:

Conclusion: Amidst an online environment saturated with misinformation, AI chatbots have the potential to serve as alternative sources of accurate HPV-related information to conventional online platforms (websites, social media), though improvements in readability, personalization, and link accuracy are still needed. Clinical Trial: N/A


 Citation

Please cite as:

Laily A, Schwab-Reese L, Davish M, Cahue E, LaRoche K, Rodriguez N, Duncan R, Hubach R, Kasting M

Examining Artificial Intelligence Chatbots’ Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis

JMIR Public Health Surveill 2026;12:e79720

DOI: 10.2196/79720

PMID: 41707197

PMCID: 12961391

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