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Cited article:

Fake review detection techniques, issues, and future research directions: a literature review

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Knowledge and Information Systems 66 (9) 5071 (2024)
https://doi.org/10.1007/s10115-024-02118-2

Exploring the Accuracy of Machine Learning in Detecting Fake News

Nithya Chenthoorani P and Mahalaksmi K
International Journal of Innovative Technology and Exploring Engineering 12 (6) 44 (2023)
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A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textual-based Feature Extraction

Gregorius Satia Budhi and Raymond Chiong
ACM Transactions on Internet Technology 23 (1) 1 (2023)
https://doi.org/10.1145/3568676

Online Fake Review Detection Based on Machine Learning Techniques

Prof. Amol Gadewar, Pratima Jadhav, Pratiksha Kale, Dhanashree Kature and Kshitija Patil
International Journal of Scientific Research in Science, Engineering and Technology 197 (2023)
https://doi.org/10.32628/IJSRSET2310390

Fake Product Review Detection and Removal System using NLP

Prof. Prathibha R, Sahana H S and Yashashwitha R
International Journal of Advanced Research in Science, Communication and Technology 342 (2022)
https://doi.org/10.48175/IJARSCT-5349

Detecting fake reviews with supervised machine learning algorithms

Minwoo Lee, Young Ho Song, Lin Li, Kyung Young Lee and Sung-Byung Yang
The Service Industries Journal 42 (13-14) 1101 (2022)
https://doi.org/10.1080/02642069.2022.2054996

Fake review detection on online E-commerce platforms: a systematic literature review

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Data Mining and Knowledge Discovery 35 (5) 1830 (2021)
https://doi.org/10.1007/s10618-021-00772-6

Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews

Gregorius Satia Budhi, Raymond Chiong, Zuli Wang and Sandeep Dhakal
Electronic Commerce Research and Applications 47 101048 (2021)
https://doi.org/10.1016/j.elerap.2021.101048

Improving lifetime of wireless sensor networks based on nodes’ distribution using Gaussian mixture model in multi-mobile sink approach

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Telecommunication Systems 77 (1) 255 (2021)
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A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making

Erick Kauffmann, Jesús Peral, David Gil, Antonio Ferrández, Ricardo Sellers and Higinio Mora
Industrial Marketing Management 90 523 (2020)
https://doi.org/10.1016/j.indmarman.2019.08.003

NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media

Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh and Noel Crespi
IEEE Transactions on Information Forensics and Security 12 (7) 1585 (2017)
https://doi.org/10.1109/TIFS.2017.2675361