基于大语言模型的虚假评论检测研究综述

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中图分类号：TP391.1 文献标识码：A 文章编号：2096-4706（2025）21-0059-07

A Review of Fake Review Detection Based on Large Language Model

LI Dong， DENG Qiuju

（1.ResearchandDevelopmentDepartment，SichuanChenbao IntemetTechnologyCo.，Ltd.，Dazhou635o，China;2Key LaboratoryofPublicBigDataScurityTchnology，ChongqingColegeofMobileCommunication，Chongqing401420，China）

Abstract： With the rapid development of e-commerce and social media，fake reviews pose a serious threat to consumer decision-making and platform credibility. In recent years，the Large Language Model based on Deep Learning has gradually become a key tool for fakereview detectiondue toits powerful semanticunderstanding and generationability.This paper systematicallreviews theresearchonfakereviewdetectionbasedonLargeLanguage Model，covering themaintechnicalpaths suchasfine-tuningdiscriminantmodel，fakereviewgenerationanddataenhancement，andpromptleaing.Atthesamtie，the frontierissuesschso-gagedetectin，dvesarialeatio，aditerpreabilityescusd，ndtheuec directionsareprospeted，hichcanprovideateoeticalreferecefortesbsequentdiscusioofitsapplicationinfkerview detection.

Keywords：Deep Learning;Large Language Model; fakereview detection; cross-language detectic

0 引言

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