Suspicion of online product reviews as fake: Cues and consequences

被引:18
|
作者
Harrison-Walker, L. Jean [1 ]
Jiang, Ying [1 ]
机构
[1] Univ Houston Clear Lake, 2700 Bay Area Blvd, Houston, TX 77058 USA
关键词
Online Reviews; Fake Reviews; Suspicion; Online Product Reviews; Credibility; Authenticity; WORD-OF-MOUTH; CONSUMER REVIEWS; PURCHASE INTENTION; SOURCE CREDIBILITY; HELPFULNESS; MESSAGE; DETERMINANTS; INFORMATION; IMPACT; RECOMMENDATIONS;
D O I
10.1016/j.jbusres.2023.113780
中图分类号
F [经济];
学科分类号
02 ;
摘要
Consumers rely on online reviews because they deem information from a third party to be more credible than promotional communications. Unfortunately, not all online reviews are legitimate. It is therefore critical for marketers to gain a better understanding of how fake online reviews affect consumer purchasing behavior and what cues consumers use in evaluating review veracity. The current research examines the effect of suspicious reviews on reviewer's opinion valuation, consumer attitudes toward the brand and website, and purchasing. Then it identifies the specific cues that consumers use to evaluate whether a review is fake or credible.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Fake Reviews or Not: Exploring the relationship between time trend and online restaurant reviews
    Hlee, Sunyoung
    Lee, Hyunae
    Koo, Chulmo
    Chung, Namho
    TELEMATICS AND INFORMATICS, 2021, 59
  • [22] Innocent until proven guilty: suspicion of deception in online reviews
    Petrescu, Maria
    Kitchen, Philip
    Dobre, Costinel
    Ben Mrad, Selima
    Milovan-Ciuta, Anca
    Goldring, Deborah
    Fiedler, Anne
    EUROPEAN JOURNAL OF MARKETING, 2022, 56 (04) : 1184 - 1209
  • [23] A fake review identification framework considering the suspicion degree of reviews with time burst characteristics
    Wang, Ning
    Yang, Jun
    Kong, Xuefeng
    Gao, Ying
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 190
  • [24] Antecedents and consequences of fake reviews in a marketing approach: An overview and synthesis
    Sahut, Jean Michel
    Laroche, Michel
    Braune, Eric
    JOURNAL OF BUSINESS RESEARCH, 2024, 175
  • [25] The more they know: Using transparent online communication to combat fake online reviews
    Wang, Yiru
    Zamudio, Cesar
    Jewell, Robert D.
    BUSINESS HORIZONS, 2023, 66 (06) : 753 - 764
  • [26] Online "helpful" Lies: An Empirical Study of Helpfulness in Fake and Authentic Online Reviews
    Chua, Alton Y. K.
    Chen, Xiaoyu
    INFORMATION FOR A BETTER WORLD: SHAPING THE GLOBAL FUTURE, PT I, 2022, 13192 : 91 - 99
  • [27] A Supervised Machine Learning Approach to Detect Fake Online Reviews
    Hassan, Rakibul
    Islam, Md Rabiul
    2020 23RD INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT 2020), 2020,
  • [28] The impact of online reviews on product returns
    Li, Xiaofei
    Ma, Baolong
    Chu, Hongrui
    ASIA PACIFIC JOURNAL OF MARKETING AND LOGISTICS, 2021, 33 (08) : 1814 - 1828
  • [29] Frills and product pricing with online reviews
    Zhang, Yao
    Zhao, Cui
    Liang, Zhe
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 159
  • [30] Helpfulness Prediction of Online Product Reviews
    Haque, Md. Enamul
    Tozal, Mehmet Engin
    Islam, Aminul
    PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING (DOCENG 2018), 2018,