AI RESEARCH
Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
arXiv CS.CL
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ArXi:2510.01801v2 Announce Type: replace The rise of large language models (LLMs) has enabled the generation of highly persuasive spam reviews that closely mimic human writing. These reviews pose significant challenges for existing detection systems and threaten the credibility of online platforms. In this work, we first create three realistic LLM-generated spam review datasets using three distinct LLMs, each guided by product metadata and genuine reference reviews. Evaluations by GPT-4.1 confirm the high persuasion and deceptive potential of these reviews.