HIV prevention messages selected using machine learning from existing social media content were found to be appealing to gay and bisexual men and public health departments in the United States, according to a recent study in the journal PNAS Nexus.
This research, conducted by Dr. Man-pui Sally Chan at the University of Pennsylvania and colleagues, indicates that automated health promotion campaigns requiring fewer resources could become part of HIV prevention going forward.
Read the full news story at aidsmap.
Source : aidsmap
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