Welcome to the InfoSci Platform
Reference Hub2
The Detection of Fake Reviews in Bestselling Books: Exploration and Findings

The Detection of Fake Reviews in Bestselling Books: Exploration and Findings

Kavita Krishnan, Yun Wan
Copyright: © 2021 |Volume: 19 |Issue: 4 |Pages: 16
ISSN: 1539-2937|EISSN: 1539-2929|EISBN13: 9781799859239|DOI: 10.4018/JECO.2021100104
Cite Article Cite Article

MLA

Krishnan, Kavita, and Yun Wan. "The Detection of Fake Reviews in Bestselling Books: Exploration and Findings." JECO vol.19, no.4 2021: pp.64-79. http://doi.org/10.4018/JECO.2021100104

APA

Krishnan, K. & Wan, Y. (2021). The Detection of Fake Reviews in Bestselling Books: Exploration and Findings. Journal of Electronic Commerce in Organizations (JECO), 19(4), 64-79. http://doi.org/10.4018/JECO.2021100104

Chicago

Krishnan, Kavita, and Yun Wan. "The Detection of Fake Reviews in Bestselling Books: Exploration and Findings," Journal of Electronic Commerce in Organizations (JECO) 19, no.4: 64-79. http://doi.org/10.4018/JECO.2021100104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This study detected the possible manipulation of reviews for bestseller books. The authors first used clustering analysis to identify the cluster of bestselling books and patterns of manipulated reviews and ratings. They then used an artificial neural network to predict the possibility of review manipulation in bestselling books based on the patterns identified. The prediction outcome has an accuracy rate of 89%. They found that fake or manipulated reviews for bestselling books could be identified by analyzing abnormal rating fluctuations. The findings could help e-commerce platforms identify review manipulations and thereby help customers make prudent purchase decisions.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.