Business & Management Studies

Detecting fake reviews through topic modelling

Detecting fake reviews through topic modelling

Behavior-related features play an important role in fake review classifications when jointly used with text-related features, finds this study.

Authors

Sachin Kumar Mangla, Full Professor and Director, Research Centre on Digital Circular Economy for Sustainable Development Goals (DCE-SDG), Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.

Şule Öztürk Birim, Manisa Celal Bayar University, Salihli Faculty of Economics and Administrative Sciences, Department of Business Administration, Manisa, Turkey.

Ipek Kazancoglu, Ege University Faculty of Economics and Administrative Sciences, Department of Business Administration, Izmir, Turkey.

Aysun Kahraman, Manisa Celal Bayar University, Salihli Faculty of Economics and Administrative Sciences, Department of Business Administration, Manisa, Turkey.

Satish Kumar, Department of Management Studies, Malaviya National Institute of Technology Jaipur, Jaipur, India; Faculty of Business, Design and Arts, Swinburne University of Technology, Jalan Simpang Tiga, 93350 Kuching, Sarawak, Malaysia.

Yigit Kazancoglu, Yasar University, Department of Logistics Management, Yasar University 35100 Izmir, Turkey.

Summary

Against the uncertainty caused by the information overload in the online world, consumers can benefit greatly by reading online product reviews before making their online purchases. However, some of the reviews are written deceptively to manipulate purchasing decisions.

The purpose of present study is to determine which feature combination is most effective in fake review detection among the features of sentiment scores, topic distributions, cluster distributions and bag of words.

In this study, additional feature combinations to a sentiment analysis are searched to examine the critical problem of fake reviews made to influence the decision-making process using review from amazon.com dataset.

Results of the study points that behavior-related features play an important role in fake review classifications when jointly used with text-related features. Verified purchase is the only behavior related feature used comparatively with other text-related features.

Published in: Journal of Business Research

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