Consumer Lying in Online Reviews: Recent Evidence

Shawn Berry
{"title":"Consumer Lying in Online Reviews: Recent Evidence","authors":"Shawn Berry","doi":"10.2139/ssrn.4834323","DOIUrl":null,"url":null,"abstract":"The persistence of lying by some consumers in their online posts of experiences with businesses is problematic, and taints the global pool of information that is used for decision making by people that assume they are true accounts of experiences. This study is based on data from my dissertation about fake online Google reviews of restaurants (Berry, 2024), and leverages an instrument that quantifies the trust of people. The findings are based on a sample of n=351, and provide a general proxy for lying in online reviews, and sketch out the characteristics of a typical person that has the propensity to be untruthful. A predictive model of posting untrue online reviews is constructed. The findings have wider implications for the study and monitoring of deceptive behavior, including the propagation of misinformation, and a means of quantifying the potential for antisocial behavior as measured by the trust of people instrument in Berry (2024). Directions for future research and limitations are also discussed.","PeriodicalId":507782,"journal":{"name":"SSRN Electronic Journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SSRN Electronic Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.4834323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The persistence of lying by some consumers in their online posts of experiences with businesses is problematic, and taints the global pool of information that is used for decision making by people that assume they are true accounts of experiences. This study is based on data from my dissertation about fake online Google reviews of restaurants (Berry, 2024), and leverages an instrument that quantifies the trust of people. The findings are based on a sample of n=351, and provide a general proxy for lying in online reviews, and sketch out the characteristics of a typical person that has the propensity to be untruthful. A predictive model of posting untrue online reviews is constructed. The findings have wider implications for the study and monitoring of deceptive behavior, including the propagation of misinformation, and a means of quantifying the potential for antisocial behavior as measured by the trust of people instrument in Berry (2024). Directions for future research and limitations are also discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
消费者在在线评论中说谎:最新证据
一些消费者在网上发布的关于企业经历的帖子中持续撒谎是个问题,它玷污了全球信息库,而这些信息库被人们用于决策,并假定它们是真实的经历。本研究基于我的论文中有关虚假在线谷歌餐馆评论的数据(Berry,2024 年),并利用了一种量化人们信任度的工具。研究结果基于一个 n=351 的样本,提供了在线评论中撒谎的一般代表,并勾勒出具有不真实倾向的典型人的特征。研究还构建了一个发布不真实在线评论的预测模型。研究结果对研究和监控欺骗行为(包括错误信息的传播)具有更广泛的意义,同时也是一种量化反社会行为可能性的方法,这种反社会行为可能性是通过贝里(2024 年)的信任度工具来衡量的。此外,还讨论了未来的研究方向和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multilingualism and International Mental Health Research – The Barriers for Non-native Speakers of English The Oxford Olympics Study 2024: Are Cost and Cost Overrun at the Games Coming Down? The Frontiers of Nullification and Anticommandeering: Federalism and Extrajudicial Constitutional Interpretation Wasserstein gradient flow for optimal probability measure decomposition Using Legitimacy Strategies to Secure Organisational Survival Over Time: The Case of EFRAG
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1