The Rise of Fake Reviews: Toward a Marketing-Oriented Framework for Understanding Fake Reviews

Reviews have become an essential part of consumer decision-making. However, the rise in fake reviews can lead consumers astray and provide misleading information to sell more products or harm competing brands. This study systematically analyzes 229 studies on fake reviews using structural topic modeling. The study outlines the antecedents, decisions, and outcomes (ADO) of fake reviews in marketing and summarizes the theories, contexts, and methods (TCM) used by research in this domain. Additionally, the study integrates the sender, message, channel, and receiver (SMCR) communication model with dual-factor theory to propose a comprehensive framework that categorizes marketing factors that contribute to or inhibit the creation and transmission of fake reviews along with their marketing implications. Finally, the study outlines opportunities for further research and provides equivalent recommendations for marketers and marketing researchers to deal with fake reviews.

Authors

Institutions

Publication Details

Journal
Australasian Marketing Journal (AMJ)
Published
2024-10-28
DOI
https://doi.org/10.1177/14413582241283505
Citations
10
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
11.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Rise of Fake Reviews: Toward a Marketing-Oriented Framework for Understanding Fake Reviews

Weng Marc Lim, Anubhav Mishra, Ankit Mehrotra, Reeti Agarwal
10 citations
Australasian Marketing Journal (AMJ)
Misinformation and Its Impacts
11.32
article

The Rise of Fake Reviews: Toward a Marketing-Oriented Framework for Understanding Fake Reviews

Weng Marc Lim, Anubhav Mishra, Ankit Mehrotra, Reeti Agarwal
article en
10 citations

Abstract

Reviews have become an essential part of consumer decision-making. However, the rise in fake reviews can lead consumers astray and provide misleading information to sell more products or harm competing brands. This study systematically analyzes 229 studies on fake reviews using structural topic modeling. The study outlines the antecedents, decisions, and outcomes (ADO) of fake reviews in marketing and summarizes the theories, contexts, and methods (TCM) used by research in this domain. Additionally, the study integrates the sender, message, channel, and receiver (SMCR) communication model with dual-factor theory to propose a comprehensive framework that categorizes marketing factors that contribute to or inhibit the creation and transmission of fake reviews along with their marketing implications. Finally, the study outlines opportunities for further research and provides equivalent recommendations for marketers and marketing researchers to deal with fake reviews.

Australasian Marketing Journal (AMJ)Vol. 33(2)
Jaipuria Institute of Management (IN), Swinburne University of Technology (AU), Sunway University (MY), Swinburne University of Technology Sarawak Campus (MY)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Misinformation and Its Impacts
11.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Rise of Fake Reviews: Toward a Marketing-Oriented Framework for Understanding Fake Reviews — Weng Marc Lim, Anubhav Mishra, et al. · Australasian Marketing Journal (AMJ) (2024) | TGRS Research Map | TGRS