A Survey on Fake Review Detection: From Pre-trained Language Models to Large Language Models
This survey reviews fake review detection from an information fusion perspective, covering 211 studies published from 2018 to early 2026, and identifies open problems in adversarial generation, cross-domain transfer, uncertainty-aware fusion, missing-source robustness, interpretability, and trustworthy evaluation for A...