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Online user ratings are misleading. Don't rely on them while shopping!

Speed News Desk | Updated on: 10 February 2017, 1:49 IST

The belief that online user ratings are good indicators of product quality is largely an illusion. Yet many consumers rely on this information while making online purchase decisions, a new study reveals. The study was published in the Journal of Consumer Research.

Almost all retailers provide user ratings on their websites, the researchers said.

For the study, researchers examined user ratings for 1,272 products across 120 product categories, such as car seats, bike helmets, sunblock, air filters, smoke alarms and blood pressure monitors.

The analysis shows a very low correspondence between average user ratings of products on an e-commerce portal and product ratings based on objective tests found in consumer reports.

"The likelihood that an item with a higher user rating performs objectively better than an item with a lower user rating is only 57 per cent," said Bart de Langhe, professor at the University of Colorado Boulder in US.

"A correspondence of 50 per cent would be random, so user ratings provide very little insight about objective product performance," de Langhe said.

The study also found that user ratings do not predict the resale value of used products.

"Products with better reliability and performance retain more of their value over time," said de Langhe.

"If average user ratings reflect objective quality, they should correlate positively with resale values. The fact that they don't casts more doubt on the validity of user ratings," he said.

Researchers also examined what information consumers rely on when judging the quality of products on e-commerce websites.

They found that consumers rely very heavily on the average user rating, which is presented front and centre.

They do this regardless of whether the average rating is based on a small or a large sample of consumers.

"This is a mistake. Oftentimes, there are just not enough ratings for a product or there is too much disagreement among reviewers," said de Langhe.

"In this case, consumers should not trust the average very much, but they do nonetheless," he said.

-With agency inputs

First published: 3 May 2016, 12:42 IST