Twitter games: how successful spammers pick targets

Vasumathi Sridharan, Vaibhav Shankar, Minaxi Gupta
{"title":"Twitter games: how successful spammers pick targets","authors":"Vasumathi Sridharan, Vaibhav Shankar, Minaxi Gupta","doi":"10.1145/2420950.2421007","DOIUrl":null,"url":null,"abstract":"Online social networks, such as Twitter, have soared in popularity and in turn have become attractive targets of spam. In fact, spammers have evolved their strategies to stay ahead of Twitter's anti-spam measures in this short period of time. In this paper, we investigate the strategies Twitter spammers employ to reach relevant target audiences. Due to their targeted approaches to send spam, we see evidence of a large number of the spam accounts forming relationships with other Twitter users, thereby becoming deeply embedded in the social network.\n We analyze nearly 20 million tweets from about 7 million Twitter accounts over a period of five days. We identify a set of 14,230 spam accounts that manage to live longer than the other 73% of other spam accounts in our data set. We characterize their behavior, types of tweets they use, and how they target their audience. We find that though spam campaigns changed little from a recent work by Thomas et al., spammer strategies evolved much in the same short time span, causing us to sometimes find contradictory spammer behavior from what was noted in Thomas et al.'s work. Specifically, we identify four major strategies used by 2/3rd of the spammers in our data. The most popular of these was one where spammers targeted their own followers. The availability of various kinds of services that help garner followers only increases the popularity of this strategy. The evolution in spammer strategies we observed in our work suggests that studies like ours should be undertaken frequently to keep up with spammer evolution.","PeriodicalId":397003,"journal":{"name":"Asia-Pacific Computer Systems Architecture Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Computer Systems Architecture Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2420950.2421007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38

Abstract

Online social networks, such as Twitter, have soared in popularity and in turn have become attractive targets of spam. In fact, spammers have evolved their strategies to stay ahead of Twitter's anti-spam measures in this short period of time. In this paper, we investigate the strategies Twitter spammers employ to reach relevant target audiences. Due to their targeted approaches to send spam, we see evidence of a large number of the spam accounts forming relationships with other Twitter users, thereby becoming deeply embedded in the social network. We analyze nearly 20 million tweets from about 7 million Twitter accounts over a period of five days. We identify a set of 14,230 spam accounts that manage to live longer than the other 73% of other spam accounts in our data set. We characterize their behavior, types of tweets they use, and how they target their audience. We find that though spam campaigns changed little from a recent work by Thomas et al., spammer strategies evolved much in the same short time span, causing us to sometimes find contradictory spammer behavior from what was noted in Thomas et al.'s work. Specifically, we identify four major strategies used by 2/3rd of the spammers in our data. The most popular of these was one where spammers targeted their own followers. The availability of various kinds of services that help garner followers only increases the popularity of this strategy. The evolution in spammer strategies we observed in our work suggests that studies like ours should be undertaken frequently to keep up with spammer evolution.
Twitter游戏:成功的垃圾邮件制造者如何选择目标
在线社交网络,如Twitter,人气飙升,反过来又成为了垃圾邮件的诱人目标。事实上,垃圾邮件发送者已经发展了他们的策略,以便在短时间内领先于Twitter的反垃圾邮件措施。在本文中,我们研究了Twitter垃圾邮件发送者为达到相关目标受众而采用的策略。由于他们有针对性地发送垃圾邮件,我们看到有证据表明,大量垃圾邮件账户与其他Twitter用户建立了关系,从而深深地嵌入了社交网络。我们分析了大约700万个推特账户在5天内发布的近2000万条推文。我们确定了一组14230个垃圾邮件帐户,这些帐户比我们数据集中其他73%的垃圾邮件帐户寿命更长。我们描述他们的行为,他们使用的推文类型,以及他们如何定位他们的受众。我们发现,尽管垃圾邮件活动与Thomas等人最近的研究相比变化不大,但垃圾邮件发送者的策略在相同的短时间内发生了很大的变化,这使得我们有时会发现与Thomas等人的研究相矛盾的垃圾邮件发送者行为。具体来说,我们在数据中确定了三分之二的垃圾邮件发送者使用的四种主要策略。其中最受欢迎的是垃圾邮件发送者以自己的追随者为目标。帮助吸引粉丝的各种服务的可用性只会增加这种策略的受欢迎程度。我们在工作中观察到的垃圾邮件发送者策略的演变表明,像我们这样的研究应该经常进行,以跟上垃圾邮件发送者的进化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信