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When Seeing Isn't Believing: Navigating Visual Health Misinformation through Library Instruction.
Kelsey Cowles1, Rebekah Miller1, Rachel Suppok1
1Health Sciences Library System, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Librarians identified four types of visual health misinformation, including misleading data and AI-generated content. They developed educational programs to combat its spread and promote information literacy.
Area of Science:
- Public Health
- Information Science
- Medical Librarianship
Background:
- Visual misinformation presents significant challenges to public health communication.
- The persuasive nature and rapid dissemination of visual content on social media exacerbate these challenges.
- Identifying and understanding different forms of visual health misinformation is crucial for effective public health strategies.
Purpose of the Study:
- To identify and categorize types of visual health misinformation.
- To develop and implement educational strategies for health sciences audiences and the wider community.
- To provide guidance on creating and delivering programs to address visual misinformation.
Main Methods:
- Librarians at the University of Pittsburgh Health Sciences Library System analyzed visual health misinformation.
- Categorization of visual misinformation into four key types: misleading graphs/charts, out-of-context visuals, manipulated scientific images, and AI-generated visuals.
- Development of instructional materials and programming tailored for diverse audiences.
Main Results:
- Four primary categories of visual health misinformation were identified and defined.
- Educational programs and strategies were created to address these types of misinformation.
- The study outlines practical approaches for implementing visual misinformation education.
Conclusions:
- Effective education and information literacy programs are essential to combat visual health misinformation.
- Librarians play a key role in developing and delivering these crucial educational initiatives.
- Proactive strategies are needed to equip individuals with the skills to critically evaluate visual health information.
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