Linguistic Cues to Misrepresentation in Online Employer Reviews

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-09-02 DOI:10.1080/08934215.2021.1973053

C. Carr, Cameron W. Piercy

引用次数: 2

Abstract

Employees may engage in some misrepresentation on employer review websites (e.g., GlassDoor, Indeed), even when reviewing an employer anonymously. This research explores how linguistic features of employee-generated reviews (N = 204) might serve as a means of detecting misrepresentation, presentations of the organization that depart from one’s personal beliefs, in employer reviews. Findings suggest language analytics may not be a fruitful means of detecting deception in online employer reviews. Results are discussed with respect to employees’ self-presentation of their employers and the linguistics of misrepresentation.

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在线雇主评论中虚假陈述的语言线索

员工可能会在雇主评论网站（例如GlassDoor，确实如此）上进行一些虚假陈述，即使是在匿名评论雇主时也是如此。这项研究探讨了员工生成的评论（N=204）的语言特征如何作为一种手段来检测雇主评论中的虚假陈述，即偏离个人信仰的组织陈述。研究结果表明，语言分析可能不是检测在线雇主评论中欺骗行为的有效手段。结果讨论了员工对雇主的自我介绍和虚假陈述语言学。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.