Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content

By Nikolaos Korfiatis, Elena García-Barriocanal, Salvador Sánchez-Alonso. Electronic Commerce Research and Applications, 2012

552 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a841e234158b4ef431afbe0cebe8050fa35909af

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Citations in the corpus

Exploring the comparative importance of online hotel reviews’ heuristic attributes in review helpfulness: a conjoint analysis approach (2017, background): “In addition to their findings, a variety of factors contributing to review helpfulness have been found in diverse settings, such as review length (Korfiatis et al., 2012; Liu & Park, 2015; Mudambi & Schuff, 2010), review rating (Korfiatis et al., 2012; Liu & Park, 2015; Mudambi & Schuff, 2010), and…”
Crowdsourced employer reviews and stock returns (2019, background): “Lengthier reviews require more cognitive effort and have been shown in product market settings to be rated as more helpful (e.g., Korfiatis et al., 2012 ).”
Asymmetric effects of online consumer reviews (2015, background): “…Weiss et al. (2008) Reviewer’s reputation The number of times that each reviewer achieved the Elite title Racherla & Friske (2012) Review elaborateness The number of words in each review content Review readability The understandability of the consumer reviews posted Korfiatis et al. (2008; 2012)”
Predicting the “helpfulness” of online consumer reviews (2017, background): “Korfiatis, García-Bariocanal, and Sánchez-Alonso (2012) explore the interplay between online review helpfulness, rating score, and the qualitative characteristics of the review text as measured by readability tests.”
Research Note - When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth (2015, background): “…reviews are rated as more helpful than positive reviews (e.g., Sen and Lerman 2007, Zhang et al. 2010), and others reporting that positive reviews are rated as more helpful than negative reviews (e.g., Korfiatis et al. 2012, Mudambi and Schuff 2010, Pan and Zhang 2011, Scholz and Dorner 2013).”