Manipulation of online reviews: An analysis of ratings, readability, and sentiments

As consumers become increasingly reliant on online reviews to make purchase decisions, the sales of the product becomes dependent on the word of mouth (WOM) that it generates. As a result, there can be attempts by firms to manipulate online reviews of products to increase their sales. Despite the su...

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Bibliographic Details
Published in:	Decision Support Systems Vol. 52; no. 3; pp. 674 - 684
Main Authors:	Hu, Nan, Bose, Indranil, Koh, Noi Sian, Liu, Ling
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.02.2012 Elsevier Elsevier Sequoia S.A
Subjects:	Applied sciences Artificial intelligence Assessments Computer science; control theory; systems Computer systems and distributed systems. User interface Consumer behavior Consumers Data mining Data processing. List processing. Character string processing Decision support systems Exact sciences and technology Information systems. Data bases Manipulation Memory organisation. Data processing On-line systems Online Online advertising Online reviews Outdoors Ratings Readability Runs test Sales Sentiments Software Speech and sound recognition and synthesis. Linguistics Statistical methods Studies Text mining Text mining Runs test Readability Sentiments Manipulation Online reviews Ratings On line Production quality Data mining Legibility Information analysis Marketing Sales Consumer Efficiency Book Purchases Electronic trade Textual data Evaluation Statistical analysis Decision making Consumer products Social network Text Recommendation
ISSN:	0167-9236, 1873-5797
Online Access:	Get full text
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