Many online reviews have a helpfulness rating, and such ratings are being widely used by online shoppers for shopping research. Researchers also use them as a review quality benchmark. However, there is scant research about the reliability of such ratings. This paper explores the reliability of helpfulness ratings and their resistance to manipulations. We found that the existing helpfulness rat...

The online product review has been advocated as an important determinant of a consumer’s purchase decision. Although prior research has been instrumental in articulating the benefits of the online product review, there remains a dearth of investigation on what kind of product review will be perceived to be helpful to a consumer. Through two sequential experiments, we investigate the endogenous ...

In online review sites, the analysis of user feedback for assessing its helpfulness decision-making is usually carried out by locally studying properties individual reviews. However, global should be considered as well to precisely evaluate quality feedback. this paper we investigate role deviations in reviews determinants with intuition that "out core" helps item evaluation. We propose a novel...

While online product reviews are valuable sources of information to facilitate consumers’ purchase decisions, it is deemed meaningful and important to distinguish helpful reviews from unhelpful ones for consumers facing huge amounts of reviews nowadays. Thus, in light of review classification, this paper proposes a novel approach to identifying review helpfulness. In doing so, a Bayesian infere...

This paper describes an original method for evaluating peer review in online systems by calculating the helpfulness of an individual reviewer's response. We focus on the development of specific and machine scoreable indicators for quality in online peer review.

Although longer reviews are generally considered more helpful, no research has investigated whether “the more the better” also applies to the expression of emotions. This paper explores the distinct effects of review length and emotional intensity. We propose that, in contrast to review length, the intensity of emotions has a negative effect on review helpfulness, and that this effect only appl...

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...

Abstract: This research explores how expressed emotional arousal in a consumer review affects reader perceptions of its helpfulness. Drawing from research on written communication and lay theories of emotion, the authors propose a pattern of diminishing returns, in which the marginal effect of arousal on perceived helpfulness is positive at low levels of arousal but diminishes at higher levels....

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...