Measurement of Trustworthiness of the Online Reviews

10/03/2022
by   Dipankar Das, et al.
0

In electronic commerce (e-commerce)markets, a decision-maker faces a sequential choice problem. Third-party intervention plays an important role in making purchase decisions in this choice process. For instance, while purchasing products/services online, a buyer's choice or behavior is often affected by the overall reviewers' ratings, feedback, etc. Moreover, the reviewer is also a decision-maker. After purchase, the decision-maker would put forth their reviews for the product, online. Such reviews would affect the purchase decision of another potential buyer, who would read the reviews before conforming to his/her final purchase. The question that arises is how trustworthy are these review reports and ratings? The trustworthiness of these review reports and ratings is based on whether the reviewer is a rational or an irrational person. Indexing the reviewer's rationality could be a way to quantify a reviewer's rationality but it does not communicate the history of his/her behavior. In this article, the researcher aims at formally deriving a rationality pattern function and thereby, the degree of rationality of the decision-maker or the reviewer in the sequential choice problem in the e-commerce markets. Applying such a rationality pattern function could make it easier to quantify the rational behavior of an agent who participates in the digital markets. This, in turn, is expected to minimize the information asymmetry within the decision-making process and identify the paid reviewers or manipulative reviews.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/18/2020

Feature-level Rating System using Customer Reviews and Review Votes

This work studies how we can obtain feature-level ratings of the mobile ...
research
05/20/2020

Positive emotions help rank negative reviews in e-commerce

Negative reviews, the poor ratings in postpurchase evaluation, play an i...
research
10/31/2011

Obtaining Reliable Feedback for Sanctioning Reputation Mechanisms

Reputation mechanisms offer an effective alternative to verification aut...
research
02/22/2023

On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction

Helpful reviews have been essential for the success of e-commerce servic...
research
07/15/2022

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization

Online shopping gives customers boundless options to choose from, backed...
research
03/05/2018

ReviewChain: Untampered Product Reviews on the Blockchain

Online portals include an increasing amount of user feedback in form of ...
research
05/09/2018

Opinion Fraud Detection via Neural Autoencoder Decision Forest

Online reviews play an important role in influencing buyers' daily purch...

Please sign up or login with your details

Forgot password? Click here to reset