Papers/2609.30292
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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
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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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