Researchers led by Dolores Albarracin have deployed AI methods to classify and optimize public health messaging for HIV prevention targeting men who have sex with men (MSM). By analyzing a large dataset of messages from government, nonprofits, and social media, the AI identified those most persuasive and actionable. Experimental validation demonstrated these classified messages were six times likelier to be shared by health agencies, enabling real-time campaign adaptation and improved outreach efficiency. This approach represents a significant step in harnessing AI for targeted, effective public health communication strategies amidst evolving social media landscapes.