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Evaluation Inflation in Online Reviews /
~
Zeng, Ying,
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Evaluation Inflation in Online Reviews /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Evaluation Inflation in Online Reviews // Ying Zeng.
Author:
Zeng, Ying,
Description:
1 electronic resource (92 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
Contained By:
Dissertations Abstracts International86-05B.
Subject:
Home economics. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30995297
ISBN:
9798342740784
Evaluation Inflation in Online Reviews /
Zeng, Ying,
Evaluation Inflation in Online Reviews /
Ying Zeng. - 1 electronic resource (92 pages)
Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
How reliable are online ratings? This thesis examines whether and why online ratings are inconsistent across websites.The first essay (Chapter 2) identifies a key predictor of consumer reviews: perceived website main functions. Specifically, I distinguish between transaction sites (websites primarily selling products, e.g., Amazon) and communication sites (websites primarily facilitating information exchange, e.g., Goodreads), finding that merely changing the perceived main function of a website can alter consumer ratings for the exact same product. I first validate the transaction-communication distinction in describing real-world platforms that offer consumer reviews with a large-scale pretest. Then, across five studies, including secondary data analysis, lab, and online experiments, I document the existence of an evaluation inflation phenomenon: for the same product, the average rating and proportion of five stars are higher on transaction sites compared to communication sites or a control group (making no mention of platform). This effect persists among various product categories, real-world platforms, manipulations of website main functions, and whether the evaluated products were provided by the experimenter or actually purchased by the consumers.The second essay (Chapter 3) proposed and tested a multi-driver social influence (compliance) account explaining the evaluation inflation phenomenon. Across two pretests and six studies, I show that consumers perceive a higher expectation to give five stars on transaction sites, and comply with this expectation by boosting their ratings. This perceived expectation comes from two major sources: the expectation of sellers and the perceived consensus of other consumers. Following this theory, I also develop and prove three simple intervention strategies that effectively mitigate evaluation inflation.
English
ISBN: 9798342740784Subjects--Topical Terms:
551902
Home economics.
Subjects--Index Terms:
Online ratings
Evaluation Inflation in Online Reviews /
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How reliable are online ratings? This thesis examines whether and why online ratings are inconsistent across websites.The first essay (Chapter 2) identifies a key predictor of consumer reviews: perceived website main functions. Specifically, I distinguish between transaction sites (websites primarily selling products, e.g., Amazon) and communication sites (websites primarily facilitating information exchange, e.g., Goodreads), finding that merely changing the perceived main function of a website can alter consumer ratings for the exact same product. I first validate the transaction-communication distinction in describing real-world platforms that offer consumer reviews with a large-scale pretest. Then, across five studies, including secondary data analysis, lab, and online experiments, I document the existence of an evaluation inflation phenomenon: for the same product, the average rating and proportion of five stars are higher on transaction sites compared to communication sites or a control group (making no mention of platform). This effect persists among various product categories, real-world platforms, manipulations of website main functions, and whether the evaluated products were provided by the experimenter or actually purchased by the consumers.The second essay (Chapter 3) proposed and tested a multi-driver social influence (compliance) account explaining the evaluation inflation phenomenon. Across two pretests and six studies, I show that consumers perceive a higher expectation to give five stars on transaction sites, and comply with this expectation by boosting their ratings. This perceived expectation comes from two major sources: the expectation of sellers and the perceived consensus of other consumers. Following this theory, I also develop and prove three simple intervention strategies that effectively mitigate evaluation inflation.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30995297
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