Online Reviews: Some Empirical Generalizations

Online consumer reviews (OCR) provide opportunities for consumers to share their experiences and opinions about products/services and are regarded among potential buyers as one of the most trusted sources of information. In this article, we analyze the information content in over 80 million reviews from amazon.com. The database is the universe of all reviews on the site (e.g., books, electronics, music, etc.) and spans over 15 years (1997-2014).



Citation:

Karsten T. Hansen and Vishal Singh (2017) ,"Online Reviews: Some Empirical Generalizations ", in LA - Latin American Advances in Consumer Research Volume 4, eds. Enrique P. Becerra, Ravindra Chitturi, and Maria Cecilia Henriquez Daza and Juan Carlos Londoño Roldan, Duluth, MN : Association for Consumer Research, Pages: 1-4.

Authors

Karsten T. Hansen, University of California, San Diego, USA
Vishal Singh, New York University, USA



Volume

LA - Latin American Advances in Consumer Research Volume 4 | 2017



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