{"title":"在线雇主评论中虚假陈述的语言线索","authors":"C. Carr, Cameron W. Piercy","doi":"10.1080/08934215.2021.1973053","DOIUrl":null,"url":null,"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.","PeriodicalId":45913,"journal":{"name":"Communication Reports","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Linguistic Cues to Misrepresentation in Online Employer Reviews\",\"authors\":\"C. Carr, Cameron W. Piercy\",\"doi\":\"10.1080/08934215.2021.1973053\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":45913,\"journal\":{\"name\":\"Communication Reports\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2021-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communication Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/08934215.2021.1973053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communication Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/08934215.2021.1973053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
Linguistic Cues to Misrepresentation in Online Employer Reviews
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.
期刊介绍:
Communication Reports (CR), published biannually since 1988, is one of two scholarly journals of the Western States Communication Association (WSCA). The journal publishes original manuscripts that are short, data/text-based, and related to the broadly defined field of human communication. The mission of the journal is to showcase exemplary scholarship without censorship based on topics, methods, or analytical tools. Articles that are purely speculative or theoretical, and not data analytic, are not appropriate for this journal. Authors are expected to devote a substantial portion of the manuscript to analyzing and reporting research data.