Is a “star” worth a thousand words?: The interplay between product‐review texts and rating valences

By Alex S. L. Tsang, Gerard Prendergast. 2009

137 citations recorded by the source corpus.

Subfields: Literature and Literary Theory, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/dc462593e7e66448f69054a23546177541262917

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Citations in the corpus

The impact of online reviews on hotel booking intentions and perception of trust. (2011, background): “Ratings tend to be quite influential in product choice (Chen, 2008) and provide potential customers with a shortcut means to assess and evaluate a product (Tsang & Prendergast, 2009).”
Understanding the Impact of Online Reviews on Hotel Performance (2017, background): “By examining valence intensity, a considerable amount of research within the field of marketing suggests that because of the negativity effect (Tsang and Prendergast 2009), negative reviews are stronger, more influential, and difficult to resist than positive reviews (Baumeister et al. 2001; Casalo…”
Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus (2016, background): “However, few studies have investigated the effects of eWOM on credibility and trust as perceived by the receiver (Chatterjee, 2001; Senecal and Nantel 2004; Tsang and Prendergast 2009).”
Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content (2012, background): “One possible indicator of expressiveness could be the star rating (Tsang and Prendergast 2009).”
Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales (2014, background): “Tsang and Prendergast [46] √ √ Interestingness, trustworthiness & purchase intention √ (Only between ratings & sentiments) 24 reviews (controlled experiment)”