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That same scenario can happen to you if you incentivize reviews. All it takes is one person mentioning to a friend that you offer discounts for reviews, and word can spread. What if that one person is an active online reviewer and they write a negative review that says you tried to incentivize them to post a positive review? Not only did your review go up in smoke, but it completely backfired. This happens more often than you'd think. And remember what the survey referenced earlier found: consumers take reviews very seriously when deciding where to spend their money. Let's say you manage to get your fake reviews past the site filters โ that's not where the risk ends! For review sites like Yelp, whose reviewers are protective of the community, getting caught in a fake review scandal can be your worst nightmare.
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The firm is exploring different digital avenues to maximize earnings. (NASDAQ:LNW), formerly known as Scientific Games, is an online gaming platform from Nevada, USA.
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We study the market for fake product reviews on Amazon.com. These reviews are purchased in large private internet groups on Facebook and other sites. We hand-collect data on these markets to characterize the types of products that buy fake reviews and then collect large amounts of data on the ratings and reviews posted on Amazon for these products, as well as their sales rank, advertising, and pricing behavior. We use this data to assess the costs and benefits of fake reviews to sellers and evaluate the degree to which they harm consumers. The theoretical literature on review fraud shows conditions when they harm consumers and conditions where they function as simply another type of advertising. Using detailed data on product outcomes before and after they buy fake reviews we can directly determine if these are low-quality products using fake reviews to deceive and harm consumers or if they are high-quality products that solicit reviews to establish reputations. We find that a wide array of products purchase fake reviews, including products with many reviews and high average ratings. Buying fake reviews on Facebook leads to a significant increase in average rating and sales rank, but the effect disappears after roughly one month. After firms stop buying fake reviews their average ratings fall significantly and the share of one-star reviews increases significantly, indicating fake reviews are mostly used by low quality products and are deceiving and harming consumers. Finally, we observe that Amazon deletes large numbers of reviews and we document their deletion policy.
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