Perceived Helpfulness of Online Consumer Reviews: The Role of Message Content and Style

By R. Schindler, Barbara A. Bickart. 2010

226 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/fe0ac648e1afec8459a546498eacf9f736f2c9e8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zhiwei Liu
2. Sangwon Park

In Sociology and Political Science

1. Chuan-Hoo Tan
2. Kwok Kee Wei
3. Meng-Xiang Li
4. Zhiwei Liu
5. Sangwon Park
6. Liqiang Huang
7. Raffaele Filieri
8. Claudio Vitari

In Human-Computer Interaction

1. Kwok Kee Wei
2. Zhiwei Liu
3. Sangwon Park

Citations in the corpus

• What makes a useful online review? Implication for travel product websites. (2015, background): “This implies that online sites with more useful reviews offer greater potential value to customers and contribute to building confidence in their purchase decisions.”
• Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features (2013, background): “Expert-written reviews refer to those written by expert reviewers often hired by popular e-commerce vendors or portals [1], whereas customer-written reviews typically refer to those posted by prior buyers who have used or experienced a focal product [62].”
• Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics (2014, unknown): “Length of a review is an important predictor of its performance (Mudambi and Schuff 2010; Schindler and Bickart 2012).”