Anomalous reviews owing to referral incentive
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017•dl.acm.org
In an online review system, a user writes a review with the intention of helping fellow
consumers (ie the readers) to make informed decisions. However, product owners often
provide incentives (eg coupons, bonus points, referral rewards) to the writers, motivating the
writing of biased reviews. These biased reviews, while beneficial for both writers and
product owners, pollute the review space and destroy readers' trust significantly. In this
paper, we analyze incentivized reviews in the Google Play store and identify a wide range of …
consumers (ie the readers) to make informed decisions. However, product owners often
provide incentives (eg coupons, bonus points, referral rewards) to the writers, motivating the
writing of biased reviews. These biased reviews, while beneficial for both writers and
product owners, pollute the review space and destroy readers' trust significantly. In this
paper, we analyze incentivized reviews in the Google Play store and identify a wide range of …
In an online review system, a user writes a review with the intention of helping fellow consumers (i.e. the readers) to make informed decisions. However, product owners often provide incentives (e.g. coupons, bonus points, referral rewards) to the writers, motivating the writing of biased reviews. These biased reviews, while beneficial for both writers and product owners, pollute the review space and destroy readers' trust significantly. In this paper, we analyze incentivized reviews in the Google Play store and identify a wide range of anomalous review types such as copying, spamming, advertising, and hidden-beneficiary reviews. We also find an increasing trend in the number of apps being targeted by abusers, which, if continued, will render review systems as crowd advertising platforms rather than an unbiased source of helpful information.
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