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Abstract
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Online product review websites as one of the examples of Web 2.0 websites allow users share their ideas
and opinions about various products and services. Although online reviews as a user-generated content can be
considered as an invaluable source of information for both consumers and firms, these reviews vary greatly in term of
quality and credibility. To tackle the problem of low quality reviews, we address reviewer credibility and propose a
novel and feasible framework for ranking reviewers in terms of credibility. The proposed framework exploits four
kinds of features including social network, profile, engagement and knowledge to quantify reviewer credibility
dimensions and utilize a fuzzy inference system to calculate credibility scores of reviewers in a cognitive approach. To
illustrate an application of the proposed method, we conduct an experimental study using real data gathered from
Epinions. The proposed framework can support marketing departments in identifying the most credible reviewers.
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