{"title":"客户满意度评分:估算虚假评论数量的新模型","authors":"John Fry , Andrew Brint","doi":"10.1016/j.tourman.2024.105030","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper we develop new models for the distribution of customer satisfaction scores. This leads to new approaches for estimating the number of fake reviews in empirical data. Modifications of the basic model are presented that account for the propensity of extreme positive and negative reviews, and a potential lack of engagement on the part of reviewers. Further work to incorporate price and cultural effects is proposed.</p></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"106 ","pages":"Article 105030"},"PeriodicalIF":10.9000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0261517724001493/pdfft?md5=44c5b6caaaf82a6743336e122a2e2792&pid=1-s2.0-S0261517724001493-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Customer satisfaction scores: New models to estimate the number of fake reviews\",\"authors\":\"John Fry , Andrew Brint\",\"doi\":\"10.1016/j.tourman.2024.105030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper we develop new models for the distribution of customer satisfaction scores. This leads to new approaches for estimating the number of fake reviews in empirical data. Modifications of the basic model are presented that account for the propensity of extreme positive and negative reviews, and a potential lack of engagement on the part of reviewers. Further work to incorporate price and cultural effects is proposed.</p></div>\",\"PeriodicalId\":48469,\"journal\":{\"name\":\"Tourism Management\",\"volume\":\"106 \",\"pages\":\"Article 105030\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0261517724001493/pdfft?md5=44c5b6caaaf82a6743336e122a2e2792&pid=1-s2.0-S0261517724001493-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0261517724001493\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261517724001493","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Customer satisfaction scores: New models to estimate the number of fake reviews
In this paper we develop new models for the distribution of customer satisfaction scores. This leads to new approaches for estimating the number of fake reviews in empirical data. Modifications of the basic model are presented that account for the propensity of extreme positive and negative reviews, and a potential lack of engagement on the part of reviewers. Further work to incorporate price and cultural effects is proposed.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.