{"title":"评估在线产品评论的内容质量和有用性","authors":"Nikolaos Korfiatis","doi":"10.2139/ssrn.1156321","DOIUrl":null,"url":null,"abstract":"Online product reviews are an important resource for consumers in online marketplaces because they provide a useful source of support information during the purchase of goods. Furthermore, in some online marketplaces consumers have the opportunity to evaluate the usefulness of a review by using a binary evaluation interface provided by the online marketplace. These evaluations produce a usefulness score, which is calculated as a fraction of helpful votes out of the total votes that a review has received. The results of these evaluations indicate that the usefulness score of a particular review is significantly affected by the qualitative characteristics of the review as measured by readability tests applied to a large dataset of reviews collected from the United Kingdom section of the popular online marketplace Amazon.","PeriodicalId":343564,"journal":{"name":"Economics of Networks","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Evaluating Content Quality and Usefulness of Online Product Reviews\",\"authors\":\"Nikolaos Korfiatis\",\"doi\":\"10.2139/ssrn.1156321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online product reviews are an important resource for consumers in online marketplaces because they provide a useful source of support information during the purchase of goods. Furthermore, in some online marketplaces consumers have the opportunity to evaluate the usefulness of a review by using a binary evaluation interface provided by the online marketplace. These evaluations produce a usefulness score, which is calculated as a fraction of helpful votes out of the total votes that a review has received. The results of these evaluations indicate that the usefulness score of a particular review is significantly affected by the qualitative characteristics of the review as measured by readability tests applied to a large dataset of reviews collected from the United Kingdom section of the popular online marketplace Amazon.\",\"PeriodicalId\":343564,\"journal\":{\"name\":\"Economics of Networks\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economics of Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1156321\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1156321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating Content Quality and Usefulness of Online Product Reviews
Online product reviews are an important resource for consumers in online marketplaces because they provide a useful source of support information during the purchase of goods. Furthermore, in some online marketplaces consumers have the opportunity to evaluate the usefulness of a review by using a binary evaluation interface provided by the online marketplace. These evaluations produce a usefulness score, which is calculated as a fraction of helpful votes out of the total votes that a review has received. The results of these evaluations indicate that the usefulness score of a particular review is significantly affected by the qualitative characteristics of the review as measured by readability tests applied to a large dataset of reviews collected from the United Kingdom section of the popular online marketplace Amazon.