Discussions of health literacy and health misinformation frequently focus on the analysis and fact-checking of written materials. However, research has shown that visuals can be even more convincing than text-based information and can shape how text-based information is perceived. Identifying misleading visualizations and imagery is therefore a vital skill for navigating the current health information landscape.

This interactive session will illustrate the pervasive nature of this issue and introduce attendees to a wide range of deceptive visual communications ranging from misleading graphs to manipulated images in scientific publications to AI-generated deepfakes.

Attendees will gain confidence in analyzing various types of visual information and leave the session with practical ideas for incorporating these skills into programming in a variety of contexts.   

Presenters: Kelsey Cowles, Rachel Suppok, and Rebekah Miller, Research & Instruction Librarians at the University of Pittsburgh Health Sciences Library System 

By registering for this class, you are agreeing to the NNLM Code of Conduct