Serf and Turf: Crowdturfing for Fun and Profit
Gang Wang, Christo Wilson, Xiaohan Zhao, Yibo Zhu, Manish Mohanlal,, Haitao Zheng, Ben Y. Zhao

TL;DR
This paper investigates crowdturfing systems that organize malicious crowd-sourcing campaigns, revealing their rapid growth, operational structures, and significant threat to online communities through detailed measurements and active testing.
Contribution
It provides a comprehensive analysis of crowdturfing platforms, including size, structure, campaign effectiveness, and international worker sources, highlighting their threat to Internet security.
Findings
Crowdturfing systems are rapidly growing in user base and revenue.
Campaigns on these platforms are highly effective at reaching and influencing users.
Crowdturfing poses a significant threat to online communities worldwide.
Abstract
Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses using crowd-sourcing systems. However, crowd-sourcing systems can also pose a real challenge to existing security mechanisms deployed to protect Internet services. Many of these techniques make the assumption that malicious activity is generated automatically by machines, and perform poorly or fail if users can be organized to perform malicious tasks using crowd-sourcing systems. Through measurements, we have found surprising evidence showing that not only do malicious crowd-sourcing systems exist, but they are rapidly growing in both user base and total revenue. In this paper, we describe a significant effort to study and understand these "crowdturfing" systems in today's Internet. We use detailed crawls to extract data about the size and operational…
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Taxonomy
TopicsSpam and Phishing Detection · Blood donation and transfusion practices · Cybercrime and Law Enforcement Studies
