EvoFEND: Dual Memory-Driven Self-Evolving Fake News Detection
Real-world fake news is inherently dynamic: evidence within an event accumulates and conflicts over time, while deceptive tactics shift across events. However, most prior work formulates detection as a static, one-shot classification problem over fixed snapshots. This mismatch ignores the lifecycle of news and leaves d...