{"title":"眼见为实:通过图书馆教学引导视觉健康误导。","authors":"Kelsey Cowles, Rebekah Miller, Rachel Suppok","doi":"10.1080/02763869.2024.2290963","DOIUrl":null,"url":null,"abstract":"<p><p>Visual misinformation poses unique challenges to public health due to its potential for persuasiveness and rapid spread on social media. In this article, librarians at the University of Pittsburgh Health Sciences Library System identify four types of visual health misinformation: misleading graphs and charts, out of context visuals, image manipulation in scientific publications, and AI-generated images and videos. To educate our campus's health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation. We describe our strategies and provide suggestions for implementing visual misinformation programming for a variety of audiences.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 1","pages":"44-58"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"When Seeing Isn't Believing: Navigating Visual Health Misinformation through Library Instruction.\",\"authors\":\"Kelsey Cowles, Rebekah Miller, Rachel Suppok\",\"doi\":\"10.1080/02763869.2024.2290963\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Visual misinformation poses unique challenges to public health due to its potential for persuasiveness and rapid spread on social media. In this article, librarians at the University of Pittsburgh Health Sciences Library System identify four types of visual health misinformation: misleading graphs and charts, out of context visuals, image manipulation in scientific publications, and AI-generated images and videos. To educate our campus's health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation. We describe our strategies and provide suggestions for implementing visual misinformation programming for a variety of audiences.</p>\",\"PeriodicalId\":39720,\"journal\":{\"name\":\"Medical Reference Services Quarterly\",\"volume\":\"43 1\",\"pages\":\"44-58\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Reference Services Quarterly\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02763869.2024.2290963\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Reference Services Quarterly","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02763869.2024.2290963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
When Seeing Isn't Believing: Navigating Visual Health Misinformation through Library Instruction.
Visual misinformation poses unique challenges to public health due to its potential for persuasiveness and rapid spread on social media. In this article, librarians at the University of Pittsburgh Health Sciences Library System identify four types of visual health misinformation: misleading graphs and charts, out of context visuals, image manipulation in scientific publications, and AI-generated images and videos. To educate our campus's health sciences audience and wider community on these topics, we have developed a range of instruction about visual health misinformation. We describe our strategies and provide suggestions for implementing visual misinformation programming for a variety of audiences.
期刊介绍:
This highly acclaimed, peer-reviewed journal is an essential working tool for medical and health sciences librarians. For those professionals who provide reference and public services to health sciences personnel in clinical, educational, or research settings, Medical Reference Services Quarterly covers topics of current interest and practical value in the areas of reference in medicine and related specialties, the biomedical sciences, nursing, and allied health. This exciting and comprehensive resource regularly publishes brief practice-oriented articles relating to medical reference services, with an emphasis on user education, database searching, and electronic information. Two columns feature the Internet and informatics education.