Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits

Today's article comes from the IEEE Access journal. The authors are Pradnyana et al., from the Institut Teknologi Sepuluh Nopember, in Indonesia. In this paper, they're using the MBTI (the Myers-Briggs test) as the basis of a personalized depression detection model. This is a system that can, in theory, analyze social media posts and infer signs of depression based on both language and personality types.

DOI: 10.1109/access.2025.3593273