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A Survey on Fake Review Detection: From Pre-trained Language Models to Large Language Models
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fake review detectionlarge language modelsinformation fusionmachine learning
2609.30292
Builder Relevance
1h ago80%
Abstract
This survey reviews fake review detection from an information fusion perspective, covering various methodologies and performance trends.
Reality Card
Core Claim
The paper organizes and analyzes 211 studies on fake review detection, highlighting the evolution from traditional methods to LLM-based approaches.
Method / Result
Covers 211 studies and identifies performance trends across major benchmark families.
Limitations
Limitations caused by different label construction procedures, data splits, and evaluation protocols.
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