Amalie Dyda , Kristian Stanceski , Alexa Dakiniewich , Angela Pan , Adam G. Dunn
{"title":"疫苗信息的可信度如何在传统搜索引擎和基于人工智能的对话代理之间进行比较?","authors":"Amalie Dyda , Kristian Stanceski , Alexa Dakiniewich , Angela Pan , Adam G. Dunn","doi":"10.1016/j.puhe.2025.105876","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Generative AI interfaces like ChatGPT offer a new way to access health information, but it is unclear if information presented is credible compared to traditional search engines. This study aimed to compare the credibility of vaccination information across generative AI interfaces and traditional search engines.</div></div><div><h3>Study design</h3><div>Cross sectional content analysis and comparison.</div></div><div><h3>Methods</h3><div>Questions were drawn from existing literature on common questions about vaccines and vaccination. Responses were retrieved in December 2023 by querying Google, Bing, Bard, ChatGPT 3.5, ChatGPT 4.0, and Claude AI. Credibility was measured using DISCERN and grade reading score was measured using standard measures via the SHeLL Editor.</div></div><div><h3>Results</h3><div>Across 12 questions, traditional search engines scored higher than generative AI in specific aspects of DISCERN, namely clarity of information sources (P < 0.0001), clarity of information recency (P < 0.0001) and provision of additional sources (P < 0.001). Generative AI interfaces performed better in relevance of information (P < 0.0001) and overall quality (P < 0.05).</div></div><div><h3>Conclusion</h3><div>Overall credibility of generative AI interfaces and traditional search engines is similar, but generative AI interfaces rarely provide sources and external links to high-quality information. In their current forms, generative AI interfaces may make information easy to read and appear credible, without providing typical credibility cues.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"247 ","pages":"Article 105876"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How does the credibility of vaccine information compare across traditional search engines and AI-based conversational agents?\",\"authors\":\"Amalie Dyda , Kristian Stanceski , Alexa Dakiniewich , Angela Pan , Adam G. Dunn\",\"doi\":\"10.1016/j.puhe.2025.105876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Generative AI interfaces like ChatGPT offer a new way to access health information, but it is unclear if information presented is credible compared to traditional search engines. This study aimed to compare the credibility of vaccination information across generative AI interfaces and traditional search engines.</div></div><div><h3>Study design</h3><div>Cross sectional content analysis and comparison.</div></div><div><h3>Methods</h3><div>Questions were drawn from existing literature on common questions about vaccines and vaccination. Responses were retrieved in December 2023 by querying Google, Bing, Bard, ChatGPT 3.5, ChatGPT 4.0, and Claude AI. Credibility was measured using DISCERN and grade reading score was measured using standard measures via the SHeLL Editor.</div></div><div><h3>Results</h3><div>Across 12 questions, traditional search engines scored higher than generative AI in specific aspects of DISCERN, namely clarity of information sources (P < 0.0001), clarity of information recency (P < 0.0001) and provision of additional sources (P < 0.001). Generative AI interfaces performed better in relevance of information (P < 0.0001) and overall quality (P < 0.05).</div></div><div><h3>Conclusion</h3><div>Overall credibility of generative AI interfaces and traditional search engines is similar, but generative AI interfaces rarely provide sources and external links to high-quality information. In their current forms, generative AI interfaces may make information easy to read and appear credible, without providing typical credibility cues.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":\"247 \",\"pages\":\"Article 105876\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350625003221\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350625003221","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
How does the credibility of vaccine information compare across traditional search engines and AI-based conversational agents?
Objectives
Generative AI interfaces like ChatGPT offer a new way to access health information, but it is unclear if information presented is credible compared to traditional search engines. This study aimed to compare the credibility of vaccination information across generative AI interfaces and traditional search engines.
Study design
Cross sectional content analysis and comparison.
Methods
Questions were drawn from existing literature on common questions about vaccines and vaccination. Responses were retrieved in December 2023 by querying Google, Bing, Bard, ChatGPT 3.5, ChatGPT 4.0, and Claude AI. Credibility was measured using DISCERN and grade reading score was measured using standard measures via the SHeLL Editor.
Results
Across 12 questions, traditional search engines scored higher than generative AI in specific aspects of DISCERN, namely clarity of information sources (P < 0.0001), clarity of information recency (P < 0.0001) and provision of additional sources (P < 0.001). Generative AI interfaces performed better in relevance of information (P < 0.0001) and overall quality (P < 0.05).
Conclusion
Overall credibility of generative AI interfaces and traditional search engines is similar, but generative AI interfaces rarely provide sources and external links to high-quality information. In their current forms, generative AI interfaces may make information easy to read and appear credible, without providing typical credibility cues.
期刊介绍:
Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.