Modeling multidimensional perceived risk in HIV-related social media: a multi-label transformers framework with longitudinal analysis.
The findings demonstrate that transformer-based multi-label learning can support scalable, reproducible analysis of HIV-related health perceptions in online communities, with potential applications in public health surveillance, communication strategy design, and digital intervention planning.