Text–relation joint modeling improves the robustness of Chinese social bot detection against paraphrasing attacks
Generative language models have made paraphrasing a low-cost and practical evasion strategy against social bot detectors, especially on Chinese platforms where textual content is a major detection signal. We introduce TRJD-AT, a text-relation joint framework that combines a Chinese MacBERT encoder, a two-layer heteroge...