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RESEARCH PAPER · International Journal of Electronic Commerce · 2024

Detecting Fake Online Reviews: An Unsupervised Detection Method With a Novel Performance Evaluation

Yuchen Pan, Lu Xu

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23 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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Detecting Fake Online Reviews: An Unsupervised Detection Method With a Novel Performance EvaluationOriginalFake reviews detection in e-commerce using machine learning techniques: A comparative survey6Fake It Till You Make It—A Statistical Assessment of the Proportion of Fake Reviews in Closed Reputation Systems10Leveraging Large Language Models and RAPIDS AI to Detect Fraudulent AI-Generated Marketplace Reviews0Mitigating collusive manipulation of reviews in e-commerce platforms: Evolutionary game and strategy simulation10High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm14How Pricing and Promotion Strategies Influence Customer Satisfaction in Sustainable Fashion6Mitigating the Proliferation of Fake Image-Text Reviews: A Two-Tier Intra- and Inter-Modal Fusion Framework5Attention-based BiLSTM with positional embeddings for fake review detection7The Necessity of Phased Research: Sentiment Fluctuations in Online Comments Caused by Product Value0Integrating machine learning and statistical testing for studying emotional influence in online review1Hybrid Sentiment-Based Labeling for Automated Fake Review Detection in Marketplaces0The Influence of Consumer Skepticism Toward Online Reviews in Product Evaluations2An unsupervised approach to demystifying customer-to-customer interactions in the banking sector: the case of the Moroccan banking sector2Comparison of Supervised Learning Performance and Graph-Based Methods in Detecting Fake Reviews on E-Commerce0Unsupervised Heuristic Detection of Deceptive Reviews in E-Commerce0CB-ALBERT: An IoT-Driven Multimodal Fake Review Detection Framework—Research on Contradiction Awareness and Dynamic Fusion Based on E-Commerce Data0OHE-RWNet: a novel neural network-based vectorization method for fake review detection0Explainable fake review detection: A hybrid deep learning model for E-commerce platforms to enhance customer trust4Quantifying consumer perceptions in smartwatch markets: integrating aspect-based sentiment analysis with panel data modelling1Integrating transformer-based credibility signals into neural collaborative filtering for fake review-aware recommendation0Fake Consumer Reviews in the Context of Trust, Detection, and Governance0Measuring digital reputation: a Business Reputation Score (BRS) and its structural and spatial drivers0Pricing for new products in the presence of online review inaccuracy: free trial or not?0

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23 direct citing papers saved.

  1. Fake reviews detection in e-commerce using machine learning techniques: A comparative survey

    BIO Web of Conferences · 2024-01-01

    Maysam Jalal, Mohsin Hasan Hussein

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  2. Fake It Till You Make It—A Statistical Assessment of the Proportion of Fake Reviews in Closed Reputation Systems

    International Journal of Electronic Commerce · 2024-10-01

    Florian Schneider, Timm Teubner

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  3. Leveraging Large Language Models and RAPIDS AI to Detect Fraudulent AI-Generated Marketplace Reviews

    IEEE Region 10 Conference (TENCON) · 2024-12-01

    Nishit Dudeja, Arun Singh Pundir

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  4. Mitigating collusive manipulation of reviews in e-commerce platforms: Evolutionary game and strategy simulation

    Information Processing & Management · 2025-02-24

    Xiaoxia Xu, Ruguo Fan, Dongxue Wang, Xiao Xie, Kang Du

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  5. High performance fake review detection using pretrained DeBERTa optimized with Monarch Butterfly paradigm

    Scientific Reports · 2025-03-03

    S. Geetha, E. Elakiya, R. Sujithra Kanmani, Manas Kamal Das

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  6. How Pricing and Promotion Strategies Influence Customer Satisfaction in Sustainable Fashion

    International Journal of Electronic Commerce · 2025-03-27

    Jialiang Yang, Hai Guo, Shaobo Wei

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  7. Mitigating the Proliferation of Fake Image-Text Reviews: A Two-Tier Intra- and Inter-Modal Fusion Framework

    International Journal of Electronic Commerce · 2025-03-27

    Wei Du, Jianlan Li, Jilei Zhou, Qi Lu, Yue Sun

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  8. Attention-based BiLSTM with positional embeddings for fake review detection

    Journal Of Big Data · 2025-04-04

    Jindong Chen, Tian Yao Zhang, Zhihua Yan, Zhichao Zheng, Wen Zhang, Jian Zhang

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  9. The Necessity of Phased Research: Sentiment Fluctuations in Online Comments Caused by Product Value

    Journal of theoretical and applied electronic commerce research · 2025-07-23

    Jing Li, Junjie Shen

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  10. Integrating machine learning and statistical testing for studying emotional influence in online review

    Business Process Management Journal · 2025-07-29

    Zheng Wang, Huiran Liu, Xiaojun Fan

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  11. Hybrid Sentiment-Based Labeling for Automated Fake Review Detection in Marketplaces

    International Conference on Information Technology Research and Innovation (ICITRI) · 2025-09-11

    Eka Praja Wiyata Mandala, Sarjon Defit, Gunadi Widi Nurcahyo

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  12. The Influence of Consumer Skepticism Toward Online Reviews in Product Evaluations

    International Journal of Electronic Commerce · 2025-10-02

    Murilo Carrazedo Marques da Costa Filho, José Mauro da Costa Hernandez

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  13. An unsupervised approach to demystifying customer-to-customer interactions in the banking sector: the case of the Moroccan banking sector

    International Journal of Bank Marketing · 2025-11-13

    Soukaina Ettalibi, Marouane Dirchaoui, Abdeljalil El Ouardighi, Abdallah Abarda

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  14. Comparison of Supervised Learning Performance and Graph-Based Methods in Detecting Fake Reviews on E-Commerce

    International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD) · 2025-12-01

    Aqiela Putriana Shabira, Putu Harry Gunawan, Fitriyani

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  15. Unsupervised Heuristic Detection of Deceptive Reviews in E-Commerce

    Journal of Computer Information Systems · 2025-12-26

    Philipp Goetzinger, Sebastian Noy

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  16. CB-ALBERT: An IoT-Driven Multimodal Fake Review Detection Framework—Research on Contradiction Awareness and Dynamic Fusion Based on E-Commerce Data

    Communications in computer and information science · 2026-01-01

    Yuguang Xu, Ting Yu, Jing Zhang

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  17. OHE-RWNet: a novel neural network-based vectorization method for fake review detection

    International Journal of Machine Learning and Cybernetics · 2026-01-01

    Seyma Gules, Mesut Gündüz, Mustafa Servet Kıran

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  18. Explainable fake review detection: A hybrid deep learning model for E-commerce platforms to enhance customer trust

    Journal of Retailing and Consumer Services · 2026-03-09

    Abhishek Jakhar, Ajay Indian

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  19. Quantifying consumer perceptions in smartwatch markets: integrating aspect-based sentiment analysis with panel data modelling

    Journal of Enterprise Information Management · 2026-03-20

    Rajeev Kumar Ray, Amit Kumar Singh, Devi Prasad Dash

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  20. Integrating transformer-based credibility signals into neural collaborative filtering for fake review-aware recommendation

    Scientific Reports · 2026-06-05

    Yasmeen Abdelmohsen, Khaled Tawfik Wassif, Nagy Ramadan

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  21. Fake Consumer Reviews in the Context of Trust, Detection, and Governance

    International Journal of Consumer Studies · 2026-07-01

    Mihai Orzan, Maria Petrescu, Ştefan Claudiu Căescu, Alina Ștefania Chenic, John T. Gironda, Philipp Brüggemann

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  22. Measuring digital reputation: a Business Reputation Score (BRS) and its structural and spatial drivers

    Electronic Commerce Research · 2026-09-21

    Hubert Wojewoda, Katarzyna Kopczewska

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  23. Pricing for new products in the presence of online review inaccuracy: free trial or not?

    Asia Pacific Journal of Marketing and Logistics · 2026-10-07

    Hao Li, Xu Huang, Xu He

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