Lianlian (Dorothy) Jiang, T. Ravichandran, Jason Kuruzovich
{"title":"评论适度透明度和在线评论:来自自然实验的证据","authors":"Lianlian (Dorothy) Jiang, T. Ravichandran, Jason Kuruzovich","doi":"10.25300/misq/2023/16216","DOIUrl":null,"url":null,"abstract":"<style>#html-body [data-pb-style=J7RWQHP]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>This paper empirically investigates how review moderation transparency affects the volume, length, and negativity of reviews. A change to the Yelp platform in 2010, introducing review moderation and displaying filtered reviews, created a natural experiment. We used a panel dataset of online reviews from the same set of restaurants on both the Yelp and TripAdvisor platforms in a difference-in-differences (DID) model to test how review moderation transparency affected our outcome variables. We found that increasing review moderation transparency negatively affects review volume but positively affects review negativity. The results also indicate that providing review moderation transparency reduces review length, especially for reviews with positive sentiment. Our findings suggest that providing review moderation transparency induces users to invest less effort in review contributions, especially when they are submitting positive reviews. We discuss the theoretical and practical implications of these results as they relate to the design and use of online review platforms.","PeriodicalId":49807,"journal":{"name":"Mis Quarterly","volume":"116 12","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Review Moderation Transparency and Online Reviews: Evidence from a Natural Experiment\",\"authors\":\"Lianlian (Dorothy) Jiang, T. Ravichandran, Jason Kuruzovich\",\"doi\":\"10.25300/misq/2023/16216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<style>#html-body [data-pb-style=J7RWQHP]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}</style>This paper empirically investigates how review moderation transparency affects the volume, length, and negativity of reviews. A change to the Yelp platform in 2010, introducing review moderation and displaying filtered reviews, created a natural experiment. We used a panel dataset of online reviews from the same set of restaurants on both the Yelp and TripAdvisor platforms in a difference-in-differences (DID) model to test how review moderation transparency affected our outcome variables. We found that increasing review moderation transparency negatively affects review volume but positively affects review negativity. The results also indicate that providing review moderation transparency reduces review length, especially for reviews with positive sentiment. Our findings suggest that providing review moderation transparency induces users to invest less effort in review contributions, especially when they are submitting positive reviews. We discuss the theoretical and practical implications of these results as they relate to the design and use of online review platforms.\",\"PeriodicalId\":49807,\"journal\":{\"name\":\"Mis Quarterly\",\"volume\":\"116 12\",\"pages\":\"\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mis Quarterly\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.25300/misq/2023/16216\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mis Quarterly","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.25300/misq/2023/16216","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Review Moderation Transparency and Online Reviews: Evidence from a Natural Experiment
This paper empirically investigates how review moderation transparency affects the volume, length, and negativity of reviews. A change to the Yelp platform in 2010, introducing review moderation and displaying filtered reviews, created a natural experiment. We used a panel dataset of online reviews from the same set of restaurants on both the Yelp and TripAdvisor platforms in a difference-in-differences (DID) model to test how review moderation transparency affected our outcome variables. We found that increasing review moderation transparency negatively affects review volume but positively affects review negativity. The results also indicate that providing review moderation transparency reduces review length, especially for reviews with positive sentiment. Our findings suggest that providing review moderation transparency induces users to invest less effort in review contributions, especially when they are submitting positive reviews. We discuss the theoretical and practical implications of these results as they relate to the design and use of online review platforms.
期刊介绍:
Journal Name: MIS Quarterly
Editorial Objective:
The editorial objective of MIS Quarterly is focused on:
Enhancing and communicating knowledge related to:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Addressing professional issues affecting the Information Systems (IS) field as a whole
Key Focus Areas:
Development of IT-based services
Management of IT resources
Use, impact, and economics of IT with managerial, organizational, and societal implications
Professional issues affecting the IS field as a whole