When Seeing Isn’t Believing: Identifying Visual Health Misinformation

Upcoming Classes

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Discussion of health literacy and the fight against health misinformation often centers around fact-checking or debunking written materials. However, identifying misleading visualizations and imagery is also a vital skill for navigating the current health information landscape. This interactive session will give you a variety of skills to analyze visual information. Deceptive imagery types covered will include graphs and charts, manipulated images in scientific publications, out-of-context images, and AI-generated imagery.

Upon completing this class, you should be able to:
  • Explain why visual misinformation is particularly convincing.
  • Recognize how data presentation methods can shape the message conveyed by data.
  • Identify out of context images and locate their original context.
  • Describe the scope and implications of deliberately manipulated images in biomedical research publications.
  • Distinguish between AI-generated and authentic images and videos.
Level
Novice
Recording status
This class will not be recorded.
Class Materials
Class materials will be shared with attendees.
See more learning options on this topic: When Seeing Isn’t Believing: Identifying Visual Health Misinformation