If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts
If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts
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长得像垃圾邮件发送者，行为像垃圾邮件发送者，就一定是垃圾邮件发送者：微博垃圾邮件账户的分析与检测
DOI：
10.1007/s10207-016-0321-5
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发表时间：
2016-10-01
影响因子：
3.2
通讯作者：
Pentland, Alex 'Sandy'
中科院分区：
文献类型：
--
作者：
Almaatouq, Abdullah;Shmueli, Erez;Pentland, Alex 'Sandy'
Spam in online social networks (OSNs) is a systemic problem that imposes a threat to these services in terms of undermining their value to advertisers and potential investors, as well as negatively affecting users' engagement. As spammers continuously keep creating newer accounts and evasive techniques upon being caught, a deeper understanding of their spamming strategies is vital to the design of future social media defense mechanisms. In this work, we present a unique analysis of spam accounts in OSNs viewed through the lens of their behavioral characteristics. Our analysis includes over 100 million messages collected from Twitter over the course of 1 month. We show that there exist two behaviorally distinct categories of spammers and that they employ different spamming strategies. Then, we illustrate how users in these two categories demonstrate different individual properties as well as social interaction patterns. Finally, we analyze the detectability of spam accounts with respect to three categories of features, namely content attributes, social interactions, and profile properties.
