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Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics

机译：根据组和个别特征检测互联网隐藏的报酬

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摘要

Online social networks are popular communication tools for billions of users. Unfortunately, they are also effective tools for hidden paid posters (or Internet water army in some literatures) to propagate spam or mendacious messages. Paid posters are typically organized in groups to post with specific purposes and have flooded the communities of microblogging websites. Typical traditional methods only utilize individual characteristics in detecting them. In this paper, we study the group characteristics of paid posters and find that group characteristics are also very important in detecting them comparing to individual characteristics. We construct a classifier based on both the individual and group characteristics to detect paid posters. Extensive experiments show that our method is better than existing methods.
机译：在线社交网络是数十亿用户的流行通信工具。不幸的是，他们也是隐藏的有效的工具，用于隐藏的付费海报（或某些文献中的互联网水军队）传播垃圾邮件或无线消息。付费海报通常以团体组织，以便以特定目的邮寄，并已淹没了微博网站的社区。典型的传统方法仅利用检测它们的个性特征。在本文中，我们研究了付费海报的群体特征，并发现该组特征在检测到与个体特征相比时也非常重要。我们根据个人和组特征构建分类器以检测付费海报。广泛的实验表明，我们的方法优于现有方法。

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