2012
DOI: 10.17705/1jais.00305
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Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective

Abstract: With the ever-increasing popularity of online consumer reviews, understanding what makes an online review believable has attracted increased attention from both academics and practitioners. Drawing on the elaboration likelihood model (ELM), this study examines four information cues used to evaluate the credibility of online reviews: Argument quality, source credibility, review consistency, and review sidedness, under different levels of involvement and expertise. We conducted an online survey that involved use… Show more

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Cited by 263 publications
(226 citation statements)
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References 47 publications
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“…To maintain the value of online reviews and to address concerns about their credibility and quality (Cheung, Sia, & Kuan, 2012), some online review sites allow readers to ''review the reviews.'' The most common approach is to rate a review as ''Helpful'' or ''Not Helpful'' (Baek et al, 2012;Li et al, 2013).…”
Section: Review Helpfulness and Measurementmentioning
confidence: 99%
“…To maintain the value of online reviews and to address concerns about their credibility and quality (Cheung, Sia, & Kuan, 2012), some online review sites allow readers to ''review the reviews.'' The most common approach is to rate a review as ''Helpful'' or ''Not Helpful'' (Baek et al, 2012;Li et al, 2013).…”
Section: Review Helpfulness and Measurementmentioning
confidence: 99%
“…For example, consumers exhibit preferences for the extent of objective and subjective information presented in online reviews for different product types. Hence, vendors could list online reviews that will be preferred and perceived as being more useful, and supply review templates to improve review credibility (Archak et al 2011;Cheung et al 2012a). Similarly, if firms can understand the impact of different presentation formats they could proactively use those formats that will have the desired impact.…”
Section: Research Frameworkmentioning
confidence: 99%
“…Hence, researchers have taken up investigation on various features and components of online reviews to evaluate their influence on consumer perceptions. They find that the severity of language used in the review, star ratings, and reviewers' identities and backgrounds, among other factors, play significant roles (Cheung et al 2012a;Duan et al 2008a;Forman et al 2008; A C C E P T E D M A N U S C R I P T…”
Section: Introductionmentioning
confidence: 99%
“…Review consistency can be an important 'heuristic' cue of credibility (Cheung et al 2012) which many third party eWOM hosting websites try to leverage by displaying aggregated review information to users (Dellarocas 2003). However, there may be temporal concerns with consensus of information as over time consumers may supplement the eWOM they receive with their own brand experiences (Christiansen and Tax 2000).…”
Section: Consensusmentioning
confidence: 99%