Predicting the “helpfulness” of online consumer reviews
نویسندگان
چکیده
منابع مشابه
Investigating Determinants of Voting for the "Helpfulness" of Online Consumer Reviews: A Text Mining Approach
The “helpfulness” feature of online user reviews helps consumers cope with information overloads and facilitates decision making. However, many online user reviews lack sufficient helpfulness votes for other users to evaluate their true helpfulness level. This study empirically examines the impact of the various features, that is, basic, stylistic, and semantic, of online user reviews on the nu...
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With the prevalence of online reviews, consumers are more inclined to be exposed to an unwieldy glut of information. In contrast to the research on the outcomes of online reviews, recent studies have shifted attention to the antecedents of online reviews, particularly investigating what characteristics lead to a review that is perceived more helpful by online consumers. Our research model of on...
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Online review has been found to be import to online businesses. The sheer number of online reviews hinders websites users’ ability to draw useful information from previous users. Thus, a helpfulness mechanism which facilitates users to locate the most helpful reviews adds value to websites. This paper explores the helpfulness of online review from a cognitive science perspective. Drawing upon c...
متن کاملThe Dynamics of Online Consumer Reviews
The significance of online consumer reviews has been increasingly acknowledged by both practitioners and researchers. These reviews are commonly used by consumers as a proxy for product quality in making purchase decisions. An implicit assumption behind their use is that the review ratings reflect consumers’ private evaluations of product quality. In this paper, we question this underlying assu...
متن کاملPredicting the Performance of Online Consumer Reviews: A Sentiment Mining Approach
Online consumer reviews (OCR) have helped consumers to know about the strengths and weaknesses of different products and find the ones that best suit their needs. This research investigates the predictors of readership and helpfulness of OCR using a sentiment mining approach. Our findings show that reviews with higher levels of positive sentiment in the title receive more readerships. Sentiment...
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ژورنال
عنوان ژورنال: Journal of Business Research
سال: 2017
ISSN: 0148-2963
DOI: 10.1016/j.jbusres.2016.08.008