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

被引:1
作者
Lim, Weng Marc [1 ,2 ,3 ]
Agarwal, Reeti [4 ]
Mishra, Anubhav [4 ]
Mehrotra, Ankit [4 ]
机构
[1] Sunway Univ, Sunway City, Selangor, Malaysia
[2] Swinburne Univ Technol, Hawthorn, Vic, Australia
[3] Swinburne Univ Technol, Kuching, Sarawak, Malaysia
[4] Jaipuria Inst Management, Lucknow, Uttar Pradesh, India
来源
AUSTRALASIAN MARKETING JOURNAL | 2024年
关键词
fake reviews; structural topic modeling; systematic review; SPAR-4-SLR; ADO framework; TCM framework; marketing; USER-GENERATED CONTENT; WORD-OF-MOUTH; SOCIAL MEDIA; ONLINE REVIEWS; DARK SIDE; TOURISM; NEWS; TRUST; CREDIBILITY; HOSPITALITY;
D O I
10.1177/14413582241283505
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
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收藏
页数:21
相关论文
共 158 条
  • [1] Exploring the Moderating Role of Readers' Perspective in Evaluations of Online Consumer Reviews
    Abedin, Ehsan
    Mendoza, Antonette
    Karunasekera, Shanika
    [J]. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2021, 16 (07): : 3406 - 3424
  • [2] Social media analytics: analysis and visualisation of news diffusion using NodeXL
    Ahmed, Wasim
    Lugovic, Sergej
    [J]. ONLINE INFORMATION REVIEW, 2019, 43 (01) : 149 - 160
  • [3] Modeling attitude ambivalence and behavioral outcomes from hotel reviews
    Akhtar, Naeem
    Siddiqi, Umar Iqbal
    Akhtar, Muhammad Nadeem
    Usman, Muhammad
    Ahmad, Wasim
    [J]. INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2020, 32 (09) : 2831 - 2855
  • [4] Social Media and Fake News in the 2016 Election
    Allcott, Hunt
    Gentzkow, Matthew
    [J]. JOURNAL OF ECONOMIC PERSPECTIVES, 2017, 31 (02) : 211 - 235
  • [5] [Anonymous], 2017, How online reviews influence sales: Evidence of the power of online reviews to shape customer behavior
  • [6] Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
    Apuke, Oberiri Destiny
    Omar, Bahiyah
    [J]. TELEMATICS AND INFORMATICS, 2021, 56
  • [7] Legitimate and illegitimate consumer complaining behavior: a review and taxonomy
    Arora, Swapan Deep
    Chakraborty, Anirban
    [J]. JOURNAL OF SERVICES MARKETING, 2020, 34 (07) : 921 - 937
  • [8] Marketing dataveillance and digital privacy: Using theories of justice to understand consumers' online privacy concerns
    Ashworth, Laurence
    Free, Clinton
    [J]. JOURNAL OF BUSINESS ETHICS, 2006, 67 (02) : 107 - 123
  • [9] Brand trust and brand loyalty in mall shoppers
    Atulkar, Sunil
    [J]. MARKETING INTELLIGENCE & PLANNING, 2020, 38 (05) : 559 - 572
  • [10] "Do We Believe in TripAdvisor?" Examining Credibility Perceptions and Online Travelers' Attitude toward Using User-Generated Content
    Ayeh, Julian K.
    Au, Norman
    Law, Rob
    [J]. JOURNAL OF TRAVEL RESEARCH, 2013, 52 (04) : 437 - 452