了解Google Play Store的奖励性手机应用安装情况

Shehroze Farooqi, Álvaro Feal, Tobias Lauinger, Damon McCoy, Zubair Shafiq, N. Vallina-Rodriguez
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引用次数: 11

摘要

“奖励性”广告平台允许手机应用开发者通过直接付费让用户安装和使用手机应用(游戏邦注:例如,创建账户,进行应用内购买)来获取新用户。苹果App Store禁止奖励性安装,b谷歌Play Store也不鼓励奖励性安装,因为它们可以操纵应用商店参数(游戏邦注:如安装数量、在排行榜上的出现情况)。然而,许多组织仍然为Android应用提供激励安装服务。在本文中,我们将首次通过一系列测量来了解Android上奖励性手机应用安装活动的生态系统及其更广泛的影响。我们确定激励安装活动,要求用户安装应用并执行应用内任务,目标是操纵各种用户粘性指标(如日活跃用户,用户会话长度)和收益。我们的研究结果表明,这些人为夸大的参数可以有效地改善应用商店参数,并帮助手机应用开发商吸引风险资本家的资金。我们的研究还表明,b谷歌Play Store现有政策在防止这些行为方面执行不力。这进一步推动了对奖励性安装活动进行更严格监管的需求。b谷歌Play Store还可以利用我们提出的测量方法来识别潜在的政策违规行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Incentivized Mobile App Installs on Google Play Store
"Incentivized" advertising platforms allow mobile app developers to acquire new users by directly paying users to install and engage with mobile apps (e.g., create an account, make in-app purchases). Incentivized installs are banned by the Apple App Store and discouraged by the Google Play Store because they can manipulate app store metrics (e.g., install counts, appearance in top charts). Yet, many organizations still offer incentivized install services for Android apps. In this paper, we present the first study to understand the ecosystem of incentivized mobile app install campaigns in Android and its broader ramifications through a series of measurements. We identify incentivized install campaigns that require users to install an app and perform in-app tasks targeting manipulation of a wide variety of user engagement metrics (e.g., daily active users, user session lengths) and revenue. Our results suggest that these artificially inflated metrics can be effective in improving app store metrics as well as helping mobile app developers to attract funding from venture capitalists. Our study also indicates lax enforcement of the Google Play Store's existing policies to prevent these behaviors. It further motivates the need for stricter policing of incentivized install campaigns. Our proposed measurements can also be leveraged by the Google Play Store to identify potential policy violations.
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