推荐激励下的异常评价

Noor Abu-El-Rub, Amanda J. Minnich, A. Mueen
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引用次数: 6

摘要

在在线评论系统中,用户写评论的目的是帮助其他消费者(即读者)做出明智的决定。然而,产品所有者通常会向作者提供奖励(如优惠券,奖励积分,推荐奖励),从而促使他们撰写带有偏见的评论。这些有偏见的评论虽然对作者和产品所有者都有好处,但却污染了评论空间,严重破坏了读者的信任。在本文中,我们分析了Google Play商店中的奖励性评论,并确定了各种异常评论类型,如复制,垃圾邮件,广告和隐藏受益人评论。我们还发现,被滥用者瞄准的应用程序数量呈上升趋势,如果这种趋势继续下去,将使评论系统成为大众广告平台,而不是公正的有用信息来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anomalous Reviews Owing to Referral Incentive
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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