AI-generated summaries and conversational search tools are changing how students and faculty encounter health and public health research, but often at the cost of depth, context, and methodological understanding. As engagement with primary sources declines, how can academic libraries rethink the discovery experience and support evaluation and research literacy?
Don’t miss this month’s OA Master Class, where we’ll examine the evolving health research ecosystem through the lenses of misinformation, AI mediation, and open access discovery. We’ll explore where AI summaries perform well, where they struggle with nuance and rigor, and how these patterns affect scholarly use and instruction.
Join us to:
- Discuss how misinformation and disinformation spread across social media, search platforms, and algorithm-driven environments.
- Investigate how filter bubbles and platform design shape exposure to health and public health research.
- Revisit evaluation frameworks, including the CRAAP test, in the context of contemporary health information workflows.
- Learn how CloudSource OA supports intentional discovery and access to high-quality open access health research.
See how CloudSource OA can provide easy discovery of credible, transparent, and reliable health information with one click and no login. Register today.
Note: We will offer certificates of completion for this OA Master Class and all future Master Classes! Join us live (or on demand) to receive one immediately following the webinar.
Date: Thursday, February 12
Time: 2:00 p.m. EST / 7:00 p.m. GMT
Place: Online
Maryśka Connolly
MLIS, CloudSource Director of Partnerships & Communications, SirsiDynix
Rick Branham
Senior Vice President, Sales Support, Academic & Content Solutions, SirsiDynix