SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection

ArXi:2605.30166v1 Announce Type: cross LLM-driven social bots can generate fluent, human-like text, reducing the discriminative advantage of content-based detection alone. However, coordinated campaigns still leave relational patterns -- interactions, behavioral similarity, shared neighborhoods, community positions, and coordinated activity -- that graph-based methods can exploit. Existing graph detectors face two challenges when exploiting such evidence.